Image
Caption

A brown Nigerian Dwarf Goat with patches of white fur is walking on a dirt ground with patches of dry grass. The goat is positioned at a three quarter angle facing the bottom left corner of the image. The goat's front left leg is in stride ahead of its right leg. The bottom half of a brown wooden barrel is visible at the top of the image. The goat is casting a small shadow beneath itself, the barrel is casting a small shadow visible to the left of it. There are small rocks scattered on the ground throughout the image.

Scene Graph
    Scene Graph
QA + verification programs
Q: What is the color of the goat walking on the ground?
A: The goat walking on the ground has a brown color with patches of white fur.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'goat' in entity:                                                
  3             color = scene_graph.get_attributes(entity).get('color', "")     
  4             fur_details =                                                   
    scene_graph.get_outgoing_relations(entity).get("goat's fur", {})            
  5             fur_color = fur_details.get('attributes', {}).get('color', "")  
  6             return f"The goat is {color} with patches of {fur_color} fur."  
  7     return None                                                             
  8                                                                             

gpt-4o: The goat walking on the ground is brown with white patches.
hscore: 93.97%
• <color (goat, brown)> == <color (goat, brown)> (100.0%)
• <state (goat, on the ground)> == <state (goat, on the ground)> (100.0%)
• <state (goat, walking)> == <state (goat, walking)> (100.0%)
tscore: 91.49%
• <color (goat, brown)> == <color (goat, brown)> (100.0%)
• <whole (goat)> == <whole (goat)> (100.0%)
• <state (goat, walking)> == <state (goat, walk)> (90.0%)

Q: Can you describe the barrel in the scene?
A: The barrel is brown, made of wood, and only its bottom half is visible at the top of the image.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'barrel' in entity:                                              
  3             attributes = scene_graph.get_attributes(entity)                 
  4             position =                                                      
    scene_graph.get_outgoing_relations(entity).get("barrel's bottom half",      
    {}).get('spatial')                                                          
  5             description = f"The barrel is {attributes.get('color', '')},    
    made of {attributes.get('material', '')}, and positioned {position}."       
  6             return description                                              
  7     return None                                                             
  8                                                                             

gpt-4o: The barrel in the scene is a wooden barrel with metal bands. It has a classic, rounded shape and appears to be weathered, indicating it might have been exposed to the elements for some time. The metal bands are evenly spaced and help to hold the wooden staves together. The barrel is standing upright on a patch of dry, bare ground with some sparse grass around it.
hscore: 84.76%
• <whole (barrel)> == <whole (barrel)> (100.0%)
• <material (barrel, wood)> == <material (barrel, wood)> (100.0%)
• <state (barrel, partial)> == <state (barrel, standing upright)> (80.0%)
tscore: 75.69%
• <material (barrel, wood)> == <material (barrel, wood)> (100.0%)
• <whole (ground)> == <whole (ground)> (100.0%)
• <whole (barrel)> == <whole (barrel)> (100.0%)

Q: What can we infer about the ground and the scattered elements on it?
A: The ground is dirt and patches of dry grass with small rocks scattered throughout the image.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'ground' in entity:                                              
  3             texture = scene_graph.get_attributes(entity).get('texture', "") 
  4             state = scene_graph.get_attributes(entity).get('state', "")     
  5             scattered_rocks =                                               
    scene_graph.get_outgoing_relations(entity).get('rocks', {}).get('spatial',  
    "")                                                                         
  6             return f"The ground is {texture} with {state} and               
    {scattered_rocks} the image."                                               
  7     return None                                                             
  8                                                                             

gpt-4o: The ground in the image appears to be dry and somewhat barren, with patches of sparse grass and dirt. There are some scattered elements on the ground, such as small rocks, twigs, and possibly some straw or hay. This suggests that the area might be a farm or a rural setting where animals, like the goat in the image, are kept. The presence of the wooden barrel in the background further supports the idea of a rustic or agricultural environment.
hscore: 79.5%
• <part (ground's small rocks)> == <part (ground, small rocks)> (90.0%)
• <state (ground's patches of dry grass, dry)> == <state (ground, dry)> (80.0%)
• <part (ground's patches of dry grass)> == <part (ground, patches of grass)> (80.0%)
tscore: 81.06%
• <whole (ground)> == <whole (ground)> (100.0%)
• <spatial (ground, goat, on)> == <spatial (goat, ground, on)> (90.0%)
• <material (wooden barrel, wood)> == <material (barrel, wood)> (90.0%)
Image
Caption

An eye level side view of a white delivery truck parked on a gray concrete road facing towards the left, the truck is parked on top of painted white lines positioned diagonally and evenly spaced. There is a painting on the side of the the truck of a brown rooster facing towards the right, the rooster is holding a sliver megaphone to its mouth, to the right of the rooster is a donkey pulling a wooden wagon with a man on it, the donkey it facing towards the right. There are red painted letters above the person on the wooden wagon, the letters read, "FARMERS / MARKET". Behind the rooster and donkey are tall painted green mountains and a blue sky full of white puffy cumulus clouds.

Scene Graph
    Scene Graph
QA + verification programs
Q: What message is written above the person on the wagon in the scene?
A: The message written above the person on the wagon is 'FARMERS / MARKET'.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'letters' in entity:                                             
  3             attributes = scene_graph.get_attributes(entity)                 
  4             text_rendering = attributes.get('text rendering', None)         
  5             if text_rendering:                                              
  6                 return text_rendering.strip('"')                            
  7     return None                                                             
  8                                                                             

gpt-4o: The message written above the person on the wagon in the scene is "FARMERS MARKET."
hscore: 72.49%
• <whole (person)> == <whole (person)> (100.0%)
• <text rendering (message, 'FARMERS / MARKET')> == <text rendering (wagon, \"FARMERS MARKET\")"> (80.0%)
• <whole (message)> == <whole (person)> (60.0%)
tscore: 95.35%
• <whole (person)> == <whole (person)> (100.0%)
• <whole (wagon)> == <whole (wagon)> (100.0%)
• <spatial (person, wagon, on)> == <spatial (person, wagon, on)> (100.0%)

Q: What is the color and texture of the letters above the wagon?
A: The letters above the wagon are red in color and painted in texture.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'letters' in entity:                                             
  3             attributes = scene_graph.get_attributes(entity)                 
  4             color = attributes.get('color', None)                           
  5             texture = attributes.get('texture', None)                       
  6             return f"Color: {color}, Texture: {texture}"                    
  7     return None                                                             
  8                                                                             

gpt-4o: The letters above the wagon spell out "FARMERS MARKET" and are painted in a light pink color with a slightly weathered texture.
hscore: 70.49%
• <state (wagon's letters, painted)> == <state (letters, painted)> (80.0%)
• <part (wagon's letters)> == <part (letters)> (70.0%)
• <state (wagon's letters, texture)> == <state (letters, painted)> (60.0%)
tscore: 81.65%
• <spatial (letters, wagon, above)> == <spatial (letters, wagon, above)> (100.0%)
• <text rendering (letters, \"FARMERS MARKET\")> == <text rendering (letters, "FARMERS / MARKET")> (90.0%)
• <state (letters, painted)> == <state (white lines, painted)> (80.0%)
Image
Caption

A high-angle view of a person's feet standing over a surface completely covered in seashells. The feet are extending from the top of the image, there is one foot in the top left quadrant of the image and another foot in the top right quadrant of the image. Both feet are facing forward. The shells are either gray, white, or cream-colored and take up the entire image.

Scene Graph
    Scene Graph
QA + verification programs
Q: Where is each foot located in the image?
A: One foot is in the top left quadrant, and the other is in the top right quadrant of the image.
  0 def execute_command(scene_graph):                                           
  1     positions = {}                                                          
  2     for entity in scene_graph.get_entities():                               
  3         if 'foot' in entity:                                                
  4             relations_out = scene_graph.get_outgoing_relations(entity)      
  5             for target in relations_out:                                    
  6                 if 'quadrant' in target:                                    
  7                     positions[entity] = target                              
  8     return ' '.join([f"{k}: {v}" for k, v in positions.items()])            
  9                                                                             

gpt-4o: In the image, both feet are located on a surface covered with numerous seashells. The left foot is positioned slightly forward and to the left, while the right foot is placed slightly back and to the right. Both feet are standing on the seashells, with toes pointing forward.
hscore: 77.82%
• <count (feet, ==2)> == <count (feet, ==2)> (100.0%)
• <whole (feet)> == <whole (feet)> (100.0%)
• <spatial (foot, top right quadrant, in)> == <state (right foot, slightly back and to the right)> (50.0%)
tscore: 83.41%
• <whole (feet)> == <whole (feet)> (100.0%)
• <count (feet, ==2)> == <count (feet, ==2)> (100.0%)
• <part (right foot)> == <part (foot)> (80.0%)

Q: Can you describe the interaction between the feet and the surface?
A: The feet are standing over the surface which is covered in seashells.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'feet' in entity:                                                
  3             relation_info = scene_graph.get_outgoing_relations(entity)      
  4             if 'surface' in relation_info and 'over' in                     
    relation_info['surface']['spatial']:                                        
  5                 return scene_graph.get_attributes('surface').get('state',   
    "")                                                                         
  6     return None                                                             
  7                                                                             

gpt-4o: The image shows bare feet standing on a surface covered with numerous seashells. The interaction between the feet and the surface can be described as follows: 1. **Texture and Sensation**: The feet are in direct contact with the hard, uneven, and rough texture of the seashells. This likely provides a tactile sensation that can range from slightly uncomfortable to painful, depending on the sharpness and positioning of the shells. 2. **Pressure Distribution**: The weight of the person is distributed across the feet, causing the seashells to shift and adjust under the pressure. This can create an unstable surface, requiring the person to balance carefully. 3. **Indentation and Movement**: The feet may cause some of the seashells to become indented into the sand or ground beneath, while others may move aside or get crushed under the weight. This interaction can create a slight sinking effect as the feet press down. 4. **Grip and Stability**: The uneven surface of the seashells can affect the grip and stability of the feet. The person may need to adjust their stance to maintain balance and avoid slipping. Overall, the interaction between the feet and the seashell-covered surface involves a combination of tactile feedback, pressure distribution, and balance adjustments.
hscore: 89.07%
• <whole (feet)> == <whole (feet)> (100.0%)
• <spatial (feet, surface, over)> == <spatial (feet, surface, on)> (90.0%)
• <state (surface, covered in seashells)> == <state (surface, covered)> (70.0%)
tscore: 79.28%
• <whole (surface)> == <whole (surface)> (100.0%)
• <whole (feet)> == <whole (feet)> (100.0%)
• <spatial (feet, surface, on)> == <spatial (person's feet, surface, over)> (80.0%)
Image
Caption

An outdoor, close up, eye level view of a brown cardboard box tipped over on its side on top of the end of a yellow median. The top of the box has two flaps that are sealed closed with clear tape. "PIGGY BANKS / INSIDE" is written in thin, black letters on the bottom flap of the top of the box. "BARNES & NOBLE" is written vertically sideways on the right side of the box. The corners of the box are covered in strips of tape. There is a square orange road reflector to the right of the box. 2 more reflectors are below the box. A black asphalt road is above the median. 3 white stripes from a crosswalk are visible along the upper edge of the frame.

Scene Graph
    Scene Graph
QA + verification programs
Q: Is there any text on the box, and if so, what does it say?
A: Yes, there is text on the box. It says "PIGGY BANKS / INSIDE" and "BARNES & NOBLE".
  0 def execute_program(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'word' in entity:                                                
  3             attributes = scene_graph.get_attributes(entity)                 
  4             if 'box' in scene_graph.get_outgoing_relations(entity):         
  5                 return attributes.get('text rendering', '')                 
  6     return "No text found on the box."                                      
  7                                                                             

gpt-4o: The text on the box says "Piggy Banks Inside."
hscore: 79.09%
• <text rendering (box, \PIGGY BANKS / INSIDE\)> == <text rendering (box, 'Piggy Banks Inside')> (90.0%)
• <text rendering (box, \BARNES & NOBLE\)> == <text rendering (box, 'Piggy Banks Inside')> (60.0%)
tscore: 81.44%
• <text rendering (box, 'Piggy Banks Inside')> == <text rendering (word, "PIGGY BANKS / INSIDE")> (80.0%)
• <state (text, on the box)"> == <image> (70.0%)

Q: What color is the median that the box is on top of?
A: The median that the box is on top of is yellow in color.
  0 def execute_program(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'median' in entity:                                              
  3             attributes = scene_graph.get_attributes(entity)                 
  4             return attributes.get('color', '')                              
  5     return "Color of the median not found."                                 
  6                                                                             

gpt-4o: The median that the box is on top of is yellow.
hscore: 98.85%
• <color (median, yellow)> == <color (median, yellow)> (100.0%)
• <whole (median)> == <whole (median)> (100.0%)
• <spatial (box, median, on top of)> == <spatial (box, median, on top of)"> (90.0%)
tscore: 98.85%
• <whole (median)> == <whole (median)> (100.0%)
• <color (median, yellow)> == <color (median, yellow)> (100.0%)
• <spatial (box, median, on top of)"> == <spatial (box, median, on top of)> (90.0%)

Q: What is the shape of the reflector to the right of the box?
A: The shape of the reflector to the right of the box is square.
  0 def execute_program(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'road reflector' in entity:                                      
  3             attributes = scene_graph.get_attributes(entity)                 
  4             relations = scene_graph.get_outgoing_relations(entity)          
  5             if 'box' in relations and 'to the right of' in                  
    relations['box'].get('spatial', ''):                                        
  6                 return attributes.get('shape', '')                          
  7     return "Shape of the reflector not found."                              
  8                                                                             

gpt-4o: The reflector to the right of the box is rectangular in shape.
hscore: 87.1%
• <spatial (reflector, box, to the right of)> == <spatial (reflector, box, to the right of)> (100.0%)
• <shape (reflector, square)> == <shape (reflector, rectangular)"> (90.0%)
• <part (box)> == <whole (box)> (70.0%)
tscore: 92.62%
• <whole (box)> == <whole (box)> (100.0%)
• <spatial (reflector, box, to the right of)> == <spatial (reflectors, box, below)> (90.0%)
• <whole (reflector)> == <whole (reflectors)> (90.0%)

Q: Which flaps of the box are sealed and how many are there?
A: The flaps on the top of the box are sealed with tape, and there are two flaps.
  0 def execute_program(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if "box's flaps" in entity:                                         
  3             attributes = scene_graph.get_attributes(entity)                 
  4             relations = scene_graph.get_outgoing_relations(entity)          
  5             if 'box' in relations:                                          
  6                 return f"Two flaps sealed with                              
    {scene_graph.get_attributes(entity).get('color', '')} tape"                 
  7     return "No sealed flaps found."                                         
  8                                                                             

gpt-4o: The box in the image has its top flaps sealed with tape. There are four flaps on the top of the box, and all four appear to be sealed.
hscore: 94.28%
• <count (box's flaps, ==2)> == <count (box's top flaps, ==4)> (90.0%)
• <state (box's flaps, sealed)> == <state (box's top flaps, sealed)> (90.0%)
• <state (box's flaps, with tape)> == <state (box's top flaps, sealed with tape)"> (90.0%)
tscore: 86.94%
• <whole (box)> == <whole (box)> (100.0%)
• <count (box's top flaps, ==4)> == <count (box's flaps, ==2)> (90.0%)
• <part (box's top flaps)> == <part (box's flaps)> (90.0%)
Image
Caption

A cream-colored labradoodle tied to a leash by a tree, outdoors. The dog is facing forward and is looking slightly to the right side and is standing up. Its fur is predominantly white with beige fur on its ears, the leash appears to be red and has pieces fraying out. The tree is to the right and is large with big gray roots seeping into the ground, behind it is a small lawn of grass and other vegetation over a hill. The dog is under the dappled shade of the tree, with the grass field behind lit up by the sunlight.

Scene Graph
    Scene Graph
QA + verification programs
Q: Where is the dog located in relation to the tree?
A: The dog is under the tree.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'dog' in entity:                                                 
  3             relations = scene_graph.get_outgoing_relations(entity)          
  4             if 'tree' in relations:                                         
  5                 return relations['tree'].get('spatial', '')                 
  6     return None                                                             
  7                                                                             

gpt-4o: The dog is located behind the tree in the image. The dog is tied to the tree with a leash and is standing on the ground, slightly to the left of the tree trunk.
hscore: 90.57%
• <spatial (dog, tree, under)> == <spatial (dog, tree, behind)> (90.0%)
tscore: 82.89%
• <whole (dog)> == <whole (dog)> (100.0%)
• <whole (tree)> == <whole (tree)> (100.0%)
• <spatial (dog, tree, behind)> == <spatial (dog, tree, under)> (90.0%)

Q: How are the dog's ears different from its body?
A: The dog has beige fur on its ears contrasting its predominantly white body fur.
  0 def execute_command(scene_graph):                                           
  1     if 'fur' in scene_graph.get_entities():                                 
  2         color = scene_graph.get_attributes('fur').get('color', '')          
  3         return f"Fur color is {color}"                                      
  4     return None                                                             
  5                                                                             

gpt-4o: The dog's ears are different from its body in terms of fur length and texture. The ears have longer, fluffier fur, while the body has shorter, more closely trimmed fur. This contrast makes the ears appear more voluminous compared to the rest of the body.
hscore: 64.74%
• <spatial (dog's ears, dog's body, on)> == <comparative (dog's ears, dog's body, texture)"> (60.0%)
• <color (dog's ears, beige)> == <part (dog's ears)> (60.0%)
• <color (dog's body, predominantly white)> == <part (dog's body)> (60.0%)
tscore: 73.55%
• <comparative (dog's ears, dog's body, texture)"> == <image> (70.0%)
• <state (dog's body, more closely trimmed)> == <state (dog, look slightly to the right side)> (70.0%)
• <part (dog's body)> == <image> (70.0%)
Image
Caption

An outdoor view of the side of a greenhouse with a multi-colored beige brick base and glass panels as wall and a roof, there are several panels that are missing and broken. Behind the greenhouse is a large four story building that is made up of multi-colored beige bricks and square window panels placed in rows and columns. The sky can be seen above the building , it is colored light blue and is shining a bright white light.

Scene Graph
    Scene Graph
QA + verification programs
Q: Describe the condition of the greenhouse's panels.
A: The greenhouse's panels are missing and broken.
  0                                                                             
  1 def execute_command(scene_graph):                                           
  2     for entity in scene_graph.get_entities():                               
  3         if "greenhouse's panels" in entity:                                 
  4             return scene_graph.get_attributes(entity).get('state', 'No      
    information available')                                                     
  5     return None                                                             
  6                                                                             

gpt-4o: The greenhouse's panels are in poor condition. Several panels are broken or missing, particularly on the roof, which has multiple large holes. The side panels also appear to be damaged, with some sections possibly covered or patched with temporary materials. Overall, the greenhouse seems to be in need of significant repair.
hscore: 95.97%
• <state (greenhouse, missing panels)> == <state (greenhouse's panels, missing)> (90.0%)
• <state (greenhouse, broken panels)> == <state (greenhouse's panels, broken)> (90.0%)
tscore: 83.32%
• <whole (greenhouse)> == <whole (greenhouse)> (100.0%)
• <part (greenhouse's panels)> == <part (greenhouse's panels)> (100.0%)
• <state (greenhouse's panels, broken)> == <state (greenhouse's panels, missing and broken)> (90.0%)

Q: What material is the base of the greenhouse made of?
A: The base of the greenhouse is made of brick.
  0                                                                             
  1 def execute_command(scene_graph):                                           
  2     for entity in scene_graph.get_entities():                               
  3         if "greenhouse's base" in entity:                                   
  4             return scene_graph.get_attributes(entity).get('material', '')   
  5     return None                                                             
  6                                                                             

gpt-4o: The base of the greenhouse is made of brick.
hscore: 99.23%
• <whole (base of the greenhouse)> == <whole (base of the greenhouse)> (100.0%)
• <part (greenhouse)> == <part (greenhouse)> (100.0%)
• <material (base of the greenhouse, brick)> == <material (base of the greenhouse, brick)"> (90.0%)
tscore: 90.66%
• <whole (base of the greenhouse)> == <whole (greenhouse)> (90.0%)
• <material (base of the greenhouse, brick)"> == <material (greenhouse's base, brick)> (90.0%)
• <part (greenhouse)> == <part (greenhouse's base)> (80.0%)

Q: How many stories is the building?
A: The building is four stories tall.
  0                                                                             
  1 def execute_command(scene_graph):                                           
  2     for entity in scene_graph.get_entities():                               
  3         if 'building' in entity:                                            
  4             attributes = scene_graph.get_attributes(entity)                 
  5             if 'shape' in attributes:                                       
  6                 return attributes['shape'].split(',')[0]                    
  7     return None                                                             
  8                                                                             

gpt-4o: The building in the image appears to be four stories tall.
hscore: 83.24%
• <height (building, four stories tall)> == <scale (building, four stories)"> (80.0%)
tscore: 80.75%
• <whole (building)> == <whole (building)> (100.0%)
• <scale (building, four stories)"> == <shape (building, four story)> (70.0%)
• <state (building, tall)> == <shape (building, large)> (60.0%)
Image
Caption

A pin wall art, with a screaming face and hands pressed forward in the wall. The pin wall is red, with a silhouette of two faces present on the piece. One has a person screaming with its mouth open with a distressed look, and their hands are in a claw motion close to their face. To the left of the screaming face is one wearing sunglasses and smiling with a hand in a thumbs up motion below them. The pins are in sections of three, with the faces in the middle one and the top and bottom sections are partially visible, cut out from the frame.

Scene Graph
    Scene Graph
QA + verification programs
Q: Describe the emotion displayed by the mouth that belongs to the person on the pin wall art.
A: The mouth is open, suggesting a screaming or distressed emotion.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if "mouth" in entity and "person" in                                
    scene_graph.get_outgoing_relations(entity):                                 
  3             return scene_graph.get_attributes(entity).get('state', None)    
  4     return None                                                             
  5                                                                             

gpt-4o: The mouth in the pin wall art appears to be open wide, which can be interpreted as displaying an emotion of surprise, shock, or possibly a scream. The wide-open mouth suggests a strong, intense emotion.
hscore: 68.49%
• <part (mouth)> == <part (pin wall art's mouth)> (70.0%)
• <state (mouth, open)> == <state (pin wall art's mouth, open)> (70.0%)
• <state (mouth, distressed)> == <state (pin wall art's mouth, displaying emotion)> (60.0%)
tscore: 74.63%
• <whole (pin wall art)> == <whole (pin wall art)> (100.0%)
• <state (pin wall art's mouth, open)> == <state (pin wall art's face, scream)> (80.0%)
• <state (pin wall art's mouth, open wide)> == <state (pin wall art's face, scream)> (80.0%)
Image
Caption

An outdoor wide-angle shot of a group of large bushy trees in front of the bright glowing sun in the slightly cloudy blue sky. The sun is glaring between in a circular gap of the intertwined branches. A brown house is visible in the lower left corner, with a white wooden front porch and a black metal gate. Light stratus clouding is visible above the tree line.

Scene Graph
    Scene Graph
QA + verification programs
Q: Where can the brown house be seen in the image?
A: The brown house can be seen in the lower left corner of the image.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'house' in entity:                                               
  3             relations_out = scene_graph.get_outgoing_relations(entity)      
  4             if 'lower left corner' in relations_out:                        
  5                 return relations_out['lower left corner'].get('spatial', '')
  6     return None                                                             
  7                                                                             

gpt-4o: The brown house can be seen in the lower left part of the image, partially obscured by the trees.
hscore: 97.96%
• <color (house, brown)> == <color (house, brown)> (100.0%)
• <whole (house)> == <whole (house)> (100.0%)
• <spatial (house, image, in lower left corner)> == <spatial (house, image, lower left part)> (90.0%)
tscore: 90.39%
• <color (house, brown)> == <color (house, brown)> (100.0%)
• <whole (house)> == <whole (house)> (100.0%)
• <spatial (house, image, lower left part)> == <spatial (house, lower left corner, in)> (80.0%)

Q: What material is the front porch made of?
A: The front porch is made of white wood.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'porch' in entity:                                               
  3             return scene_graph.get_attributes(entity).get('material', '')   
  4     return None                                                             
  5                                                                             

gpt-4o: The image primarily shows trees with sunlight filtering through the leaves, and a house in the background. The front porch of the house is partially visible, but the material of the porch is not clear from this image. To determine the material of the front porch, a closer and more detailed view of the porch would be necessary.
hscore: 66.39%
• <whole (porch)> == <whole (house)> (70.0%)
• <material (porch, wood)> == <material undetermined (house's front porch)"> (60.0%)
• <color (porch, white)> == <material undetermined (house's front porch)"> (50.0%)
tscore: 77.81%
• <whole (house)> == <whole (house)> (100.0%)
• <whole (trees)> == <whole (trees)> (100.0%)
• <part (house's front porch)> == <image> (70.0%)

Q: What is the color of the gate in front of the house?
A: The gate in front of the house is black and made of metal.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'gate' in entity:                                                
  3             relations_out = scene_graph.get_outgoing_relations(entity)      
  4             if 'house' in relations_out and 'front of' in                   
    relations_out['house']['spatial']:                                          
  5                 return scene_graph.get_attributes(entity).get('color', '')  
  6     return None                                                             
  7                                                                             

gpt-4o: The gate in front of the house appears to be black.
hscore: 67.1%
• <color (gate, black)> == <color (gate, black)"> (90.0%)
• <material (gate, metal)> == <whole (gate)> (50.0%)
• <spatial (gate, house, in front of)> == <whole (gate)> (40.0%)
tscore: 98.45%
• <whole (gate)> == <whole (gate)> (100.0%)
• <color (gate, black)"> == <color (gate, black)> (90.0%)
Image
Caption

A medium-close-up view of a white cat who is laying on a brown wooden floor. Most of the cat's tail is black, while the beginning portion of the tail is white. The head of the cat is also covered with black markings that reach the right eye. Laid on top of the stomach of the cat is a rainbow-colored string. Behind the cat there is an entrance to a room that has wooden flooring, inside the room there is a blue wall. Surrounding the entrance is white trimming. The wall on the right is painted gray.

Scene Graph
    Scene Graph
QA + verification programs
Q: How would you describe the color transition on the cat's tail?
A: The cat's tail is mostly black, with a white beginning portion.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         attributes = scene_graph.get_attributes(entity)                     
  3         if "cat's tail" in entity:                                          
  4             if 'white' in attributes.get('color', '') and 'black' in        
    attributes.get('color', ''):                                                
  5                 return "mostly black, with a white beginning portion"       
  6     return None                                                             
  7                                                                             

gpt-4o: The cat's tail exhibits a color transition from a lighter shade at the base to a darker shade at the tip. Specifically, the base of the tail is white, which gradually transitions to a dark gray or black color towards the end. This gradient effect creates a striking contrast along the length of the tail.
hscore: 82.46%
• <state (cat's tail, white at the beginning)> == <state (cat's tail, exhibits color transition)> (80.0%)
• <state (cat's tail, mostly black)> == <state (cat's tail, exhibits color transition)> (70.0%)
tscore: 83.69%
• <part (cat's tail)> == <part (cat's tail)> (100.0%)
• <color (cat's tail base, white)> == <color (cat's tail, white)> (90.0%)
• <color (cat's tail tip, dark gray or black)> == <color (cat's tail, black)> (80.0%)

Q: Which direction is the entrance in relation to the cat?
A: The entrance is behind the cat.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'entrance' in entity:                                            
  3             relations = scene_graph.get_incoming_relations(entity)          
  4             for source, relation_info in relations.items():                 
  5                 if 'cat' in source and 'in front of' in                     
    relation_info.get('spatial', ''):                                           
  6                     return 'behind the cat'                                 
  7     return None                                                             
  8                                                                             

gpt-4o: The entrance is behind the cat.
hscore: 96.86%
• <spatial (entrance, cat, behind)> == <spatial (entrance, cat, behind)"> (90.0%)
tscore: 97.9%
• <whole (entrance)> == <whole (entrance)> (100.0%)
• <whole (cat)> == <whole (cat)> (100.0%)
• <spatial (entrance, cat, behind)"> == <spatial (cat, entrance, in front of)> (90.0%)

Q: Can you describe the room behind the cat?
A: The room has a blue wall, wooden flooring, and is accessed through the entrance.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'room' in entity:                                                
  3             room_blue_wall = True if 'blue' in                              
    scene_graph.get_attributes('wall').get('color', '') else False              
  4             room_wooden_flooring = True if 'wood' in                        
    scene_graph.get_attributes('flooring').get('material', '') else False       
  5             return f"The room has a {'blue' if room_blue_wall else 'no'}    
    wall, wooden flooring, and is accessed through the entrance."               
  6     return None                                                             
  7                                                                             

gpt-4o: The room behind the cat appears to have wooden flooring, similar to the area where the cat is lying. There is a doorway with white trim leading into another room. The visible part of the adjacent room has a blue carpet or rug. The walls in the foreground room are painted gray, and the baseboards are white. The overall look is clean and simple, with a focus on neutral and cool tones.
hscore: 88.6%
• <whole (room)> == <whole (room)> (100.0%)
• <spatial (room's entrance, room, through)> == <spatial (doorway, room, leading into)> (90.0%)
• <part (room's flooring)> == <part (flooring, adjacent room)> (90.0%)
tscore: 76.54%
• <whole (room)> == <whole (room)> (100.0%)
• <color (walls, gray)> == <color (wall, gray)> (90.0%)
• <material (flooring, wooden)> == <material (flooring, wood)> (90.0%)
Image
Caption

A medium view from above of a boat that is moving towards the right on a river. The boat is tall and mostly white, but along the side of it there is a red rectangle that runs horizontally across the bottom portion of the boat. To the right of the red markings are blue markings that are rectangular and tall. On the blue markings and on the left, there is a white star. Above these red and blue markings, there are rectangular windows. On the very top portion of the boat, there are multiple people standing. Behind the boat and towards the back of the river, there is a treeline that is mostly green, while to the far right there is an orange tree. In between the trees, a long gray road can be seen. Reflecting onto the water and along the backside, there are trees. It is daytime, as everything can be seen clearly.

Scene Graph
    Scene Graph
QA + verification programs
Q: What is the shape of the windows on the boat?
A: The windows on the boat are rectangular in shape.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'windows' in entity:                                             
  3             shape = scene_graph.get_attributes(entity).get('shape', '')     
  4             return shape                                                    
  5     return None                                                             
  6                                                                             

gpt-4o: The windows on the boat are rectangular in shape.
hscore: 98.69%
• <shape (boat's windows, rectangular)> == <shape (boat's windows, rectangular)"> (90.0%)
tscore: 78.48%
• <shape (boat's windows, rectangular)"> == <shape (boat, rectangle)> (80.0%)
• <part (boat's windows)> == <image> (70.0%)

Q: Can you describe the red markings on the boat?
A: The red markings run horizontally across the bottom portion of the boat, and are located left of the blue markings.
   0 def execute_command(scene_graph):                                          
   1     for entity in scene_graph.get_entities():                              
   2         if 'markings_1' in entity:                                         
   3             red_markings_description = []                                  
   4             if 'red' in scene_graph.get_attributes(entity).get('color',    
     ''):                                                                       
   5                 red_markings_description.append("the red markings")        
   6             relations = scene_graph.get_outgoing_relations(entity)         
   7             if 'markings_2' in relations and 'left of' in                  
     relations['markings_2'].get('spatial', ''):                                
   8                 red_markings_description.append("are left of the blue      
     markings")                                                                 
   9             return ' '.join(red_markings_description)                      
  10     return None                                                            
  11                                                                            

gpt-4o: The boat in the image has a distinctive design with red markings. Specifically, there is a horizontal red stripe running along the side of the boat, just below the windows. This red stripe is part of a larger design that includes a blue section with a white star, resembling the flag of Texas. The red stripe is bordered by white on the top and bottom, creating a striking and patriotic appearance.
hscore: 79.77%
• <color (boat's markings, red)> == <color (boat's markings, red)> (100.0%)
• <state (boat's markings, horizontal)> == <state (boat, distinctive design)> (80.0%)
• <spatial (red markings, blue markings, left of)> == <spatial (blue section, red stripe, with)> (70.0%)
tscore: 76.38%
• <whole (boat)> == <whole (boat)> (100.0%)
• <color (white star, white)> == <color (star, white)> (90.0%)
• <part (boat's side)> == <part (top portion of the boat)> (80.0%)

Q: Where can you find multiple people standing on the boat?
A: Multiple people are standing on the very top portion of the boat.
  0 def execute_command(scene_graph):                                           
  1     for entity in scene_graph.get_entities():                               
  2         if 'people' in entity:                                              
  3             relations = scene_graph.get_outgoing_relations(entity)          
  4             if 'top portion of the boat' in relations and 'on' in           
    relations['top portion of the boat'].get('spatial', ''):                    
  5                 return "on the very top portion of the boat"                
  6     return None                                                             
  7                                                                             

gpt-4o: In the image, multiple people are standing on the upper deck of a boat that is sailing on a body of water. The boat has a distinctive design with a red, white, and blue color scheme, and it appears to be a sightseeing or tour boat. The people are gathered on the top level, enjoying the view.
hscore: 69.41%
• <state (people, standing)> == <state (people, standing)> (100.0%)
• <spatial (people, boat, on)> == <spatial (boat, body of water, on)> (90.0%)
• <location (people, top portion of the boat)> == <color (boat, white)> (50.0%)
tscore: 84.85%
• <whole (boat)> == <whole (boat)> (100.0%)
• <color (boat, red)> == <color (boat, red)> (100.0%)
• <state (people, standing)> == <state (people, stand)> (90.0%)