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8.99k
image_id
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120 values
image_type
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3 values
theme
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26 values
reasoning_complexity
stringclasses
3 values
question_id
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3 values
question
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4 values
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183
image01
AI_GENERATED
driveway
direct_recognition
Q1
How many objects made of rubber are visible?
7
physical
null
image01
AI_GENERATED
driveway
property_inference
Q2
How many objects are visible that are means of transportation?
4
functional
null
image01
AI_GENERATED
driveway
counterfactual_reasoning
Q3
If the car in the driveway were to leave, how many objects primarily made of metal would be present?
4
physical
car on the left, swing set, car in garage, bike
image02
AI_GENERATED
construction
direct_recognition
Q1
How many objects made of concrete are present?
5
physical
null
image02
AI_GENERATED
construction
property_inference
Q2
How many objects are visible that can be used for holding liquids?
2
relational
two paint cans
image02
AI_GENERATED
construction
counterfactual_reasoning
Q3
If the orange paint spilt all over one of the plexiglass sheets, how many objects would remain that are transparent?
1
physical
null
image03
AI_GENERATED
farm
direct_recognition
Q1
How many mammals are present in the image?
5
taxonomic
null
image03
AI_GENERATED
farm
property_inference
Q2
How many people are sat crouching and feeding an animal?
1
relational
null
image03
AI_GENERATED
farm
counterfactual_reasoning
Q3
If the two sheep were replaced by a cow grazing in the same area, how many objects would be present in between the two fences?
3
relational
null
image04
AI_GENERATED
library
direct_recognition
Q1
How many objects are visible that are made of paper?
7
physical
null
image04
AI_GENERATED
library
property_inference
Q2
How many objects are present that can be worn on the head?
2
functional
glasses, headphones
image04
AI_GENERATED
library
counterfactual_reasoning
Q3
If the glasses were placed inside the ceramic container, and we use this container as a dividing line between the left and right sides of the bookshelf, how many objects would be on the right side?
4
relational
headphone, three books
image05
AI_GENERATED
picnic
direct_recognition
Q1
How many objects are visible that are made of porcelain?
3
physical
null
image05
AI_GENERATED
picnic
property_inference
Q2
How many figurines are placed on the table?
3
relational
null
image05
AI_GENERATED
picnic
counterfactual_reasoning
Q3
If the drinks were split evenly between the two humans, how many drinks would each human consume?
3
relational
null
image06
AI_GENERATED
beach cleanup
direct_recognition
Q1
How many mammals are present in the image?
5
taxonomic
null
image06
AI_GENERATED
beach cleanup
property_inference
Q2
How many objects are visible that are designed to contain liquids?
8
functional
six clear bottles, two green bottles
image06
AI_GENERATED
beach cleanup
counterfactual_reasoning
Q3
If the trash bags and bottles on the sand are only thrown into the black bin, how many mammals are actively holding some other object?
3
relational
null
image07
AI_GENERATED
camping
direct_recognition
Q1
How many mammals are present in the image?
4
taxonomic
three people, one dog
image07
AI_GENERATED
camping
property_inference
Q2
How many objects are present that provide shelter?
4
functional
four tents
image07
AI_GENERATED
camping
counterfactual_reasoning
Q3
If one of the mammals douses the fire, how many objects are present that can be switched off?
4
functional
four lights
image08
AI_GENERATED
gym
direct_recognition
Q1
How many different types of gym equipment are present?
5
taxonomic
treadmills, elliptical machine, kettlebells, bench press station, resistance bands
image08
AI_GENERATED
gym
property_inference
Q2
How many exercise equipment are placed next to each other in a line?
3
relational
treadmills, elliptical machine
image08
AI_GENERATED
gym
counterfactual_reasoning
Q3
If one of the treadmills is faulty and removed from the gym, how many objects are present that convey some kind of information?
5
functional
clock, tv, two eliptical machine, one treadmill
image09
AI_GENERATED
garage
direct_recognition
Q1
How many objects made of rubber are visible in the image?
9
physical
tires
image09
AI_GENERATED
garage
property_inference
Q2
How many objects are visible that need electricity to operate?
4
functional
hydraulic lift, three tubelights
image09
AI_GENERATED
garage
counterfactual_reasoning
Q3
If one of the workers took a wrench off the table, how many objects would remain in physical contact with the table?
4
relational
service manual, toolbox, plier, wrench
image10
AI_GENERATED
kitchen
direct_recognition
Q1
How many objects are visible that are made of metal?
8
physical
three knives, pot, burner grates, stove, faucet, sink
image10
AI_GENERATED
kitchen
property_inference
Q2
How many objects present are breakable?
6
functional
five ceramic bowls, one glass
image10
AI_GENERATED
kitchen
counterfactual_reasoning
Q3
If the bowls with the tomatoes and the chickpeas were emptied into the steaming pot, how many containers would still have something remaining in them?
5
functional
two bowls green herbs, one bowl spinach, one steaming pot, one glass water
image11
AI_GENERATED
bedroom
direct_recognition
Q1
How many plants are present?
5
taxonomic
null
image11
AI_GENERATED
bedroom
property_inference
Q2
How many objects that are hanging off something are visible?
7
relational
clothes, star
image11
AI_GENERATED
bedroom
counterfactual_reasoning
Q3
If the white dress on the right is hung off the rod on the left, how many individual items are visible hanging off the rod?
6
relational
clothes
image12
AI_GENERATED
classroom
direct_recognition
Q1
How many tables are visible?
4
taxonomic
null
image12
AI_GENERATED
classroom
property_inference
Q2
How many students are looking away from the viewer?
2
relational
null
image12
AI_GENERATED
classroom
counterfactual_reasoning
Q3
If half of the total quantity of clocks on the wall are removed, how many circular objects would be visible?
1
physical
clock
image13
AI_GENERATED
kitchen
direct_recognition
Q1
How many blue-shaded objects are visible?
6
physical
jeans, bucket, mop, scrubber, cleaning fluid, towel
image13
AI_GENERATED
kitchen
property_inference
Q2
How many appliances can warm up bread?
2
functional
oven, toaster
image13
AI_GENERATED
kitchen
counterfactual_reasoning
Q3
If the bucket was full of water, how many liquid-holding objects would be visible?
2
functional
bucket, spray bottle
image14
AI_GENERATED
kitchen
direct_recognition
Q1
How many rooms are depicted in this image?
1
taxonomic
null
image14
AI_GENERATED
kitchen
property_inference
Q2
How many items can be used for cutting?
4
functional
null
image14
AI_GENERATED
kitchen
counterfactual_reasoning
Q3
If every man would be replaced by three dogs, how many mammals would there be in the image?
3
taxonomic
null
image15
AI_GENERATED
kitchen
direct_recognition
Q1
How many bowls are present?
4
taxonomic
bowls
image15
AI_GENERATED
kitchen
property_inference
Q2
How many items hold liquid?
2
functional
pot, glass
image15
AI_GENERATED
kitchen
counterfactual_reasoning
Q3
If all pots are empty, how many containers would visibly hold food?
6
functional
null
image16
AI_GENERATED
kitchen
direct_recognition
Q1
How many items with handles are present?
4
physical
3 knives, pot
image16
AI_GENERATED
kitchen
property_inference
Q2
How many utensils are on top of wooden cutting boards?
3
relational
null
image16
AI_GENERATED
kitchen
counterfactual_reasoning
Q3
If there were twice as many knives in the image, how many metal objects would be shown in total?
8
physical
1 tap, 1 pot, 6 knives
image17
AI_GENERATED
beach cleanup
direct_recognition
Q1
How many people are wearing gloves?
3
physical
people
image17
AI_GENERATED
beach cleanup
property_inference
Q2
How many bags appear to be full of collected items?
7
relational
null
image17
AI_GENERATED
beach cleanup
counterfactual_reasoning
Q3
If the trash pickers had used bins instead of plastic bags, how many bins would be visible?
8
taxonomic
containers
image18
AI_GENERATED
construction
direct_recognition
Q1
How many headwear objects are visible?
4
taxonomic
null
image18
AI_GENERATED
construction
property_inference
Q2
How many warning signs are standing upright?
2
relational
signs
image18
AI_GENERATED
construction
counterfactual_reasoning
Q3
If the wheelbarrow were yellow, how many yellow-shaded objects would be visible in the image?
7
physical
3 helmets, 2 signs, 1 wheelbarrow, safety jacket
image19
AI_GENERATED
garage
direct_recognition
Q1
How many circular rubber objects are present?
6
physical
6 tires
image19
AI_GENERATED
garage
property_inference
Q2
How many tires touch the ground?
4
relational
null
image19
AI_GENERATED
garage
counterfactual_reasoning
Q3
If the helmets were red instead of white, how many red objects would be visible?
4
physical
2 helmets, backlight, toolbox
image20
AI_GENERATED
biking
direct_recognition
Q1
How many tires are present?
7
taxonomic
null
image20
AI_GENERATED
biking
property_inference
Q2
How many objects are visible that can be used to protect the head?
2
functional
helmets
image20
AI_GENERATED
biking
counterfactual_reasoning
Q3
If the bicycle being repaired were replaced by a car, how many bicycles would be fully assembled?
0
taxonomic
null
image21
AI_GENERATED
park
direct_recognition
Q1
How many mammals are present?
3
taxonomic
fox, groundhog, squirrel
image21
AI_GENERATED
park
property_inference
Q2
How many vegetables are visible in front of the log?
3
relational
3 mushrooms
image21
AI_GENERATED
park
counterfactual_reasoning
Q3
If every book were open, how many pages would be visible?
4
physical
null
image22
AI_GENERATED
park
direct_recognition
Q1
How many mammal species are visible?
3
taxonomic
fox, rabbits, squirrels
image22
AI_GENERATED
park
property_inference
Q2
How many objects are on top of the logs?
5
relational
rabbit, fox, crystal, two squirrels
image22
AI_GENERATED
park
counterfactual_reasoning
Q3
If the mushrooms were all the same material as the crystal, how many glass objects would there be?
3
physical
crystal, two mushrooms
image23
AI_GENERATED
biking
direct_recognition
Q1
How many wheels are present?
5
taxonomic
two bikes, one wheel barrow
image23
AI_GENERATED
biking
property_inference
Q2
How many items can be used for safety in traffic?
2
functional
2 helmets
image23
AI_GENERATED
biking
counterfactual_reasoning
Q3
If all tools were removed from the photo, how many blue items would be visible?
1
physical
helmet
image24
AI_GENERATED
laboratory
direct_recognition
Q1
How many legs are depicted?
8
taxonomic
null
image24
AI_GENERATED
laboratory
property_inference
Q2
How many robots are shown on a screen?
2
relational
null
image24
AI_GENERATED
laboratory
counterfactual_reasoning
Q3
If all robots were to become humans, how many humans would there be?
7
taxonomic
null
image25
AI_GENERATED
laboratory
direct_recognition
Q1
How many objects with legs are visible?
4
physical
3 robots, 1 chair
image25
AI_GENERATED
laboratory
property_inference
Q2
How many items emit light?
1
functional
null
image25
AI_GENERATED
laboratory
counterfactual_reasoning
Q3
If a human replaced every robot, how many humans would be present?
3
taxonomic
null
image26
AI_GENERATED
classroom
direct_recognition
Q1
How many animals with tails are present?
3
physical
fox, squirrel, rabbit
image26
AI_GENERATED
classroom
property_inference
Q2
How many objects are present that provide a source of illumination?
2
functional
crystals
image26
AI_GENERATED
classroom
counterfactual_reasoning
Q3
If the crystals were replaced by squirrels, how many animals would be on top of logs?
5
relational
fox, owl, rabbit, 2 squirrels
image27
AI_GENERATED
park
direct_recognition
Q1
How many birds are visible?
2
taxonomic
owls
image27
AI_GENERATED
park
property_inference
Q2
How many birds are sitting on a tree stump?
1
relational
owl
image27
AI_GENERATED
park
counterfactual_reasoning
Q3
If there were twice as many squirrels as rabbits, how many squirrels would there be?
4
taxonomic
null
image28
AI_GENERATED
market
direct_recognition
Q1
How many hands of bananas are visible?
3
taxonomic
null
image28
AI_GENERATED
market
property_inference
Q2
How many people are interacting besides the cart?
4
relational
null
image28
AI_GENERATED
market
counterfactual_reasoning
Q3
If the carrots were replaced by tomatoes, how many cart compartments would contain red produce?
4
physical
null
image29
AI_GENERATED
tools
direct_recognition
Q1
How many liquid objects are present?
0
taxonomic
null
image29
AI_GENERATED
tools
property_inference
Q2
How many wearable items are visible?
4
functional
gloves
image29
AI_GENERATED
tools
counterfactual_reasoning
Q3
If every person wears exactly 1 glove, how many people could use the visible gloves in total?
4
relational
tools
image30
AI_GENERATED
tools
direct_recognition
Q1
How many metal tools are fully visible?
5
taxonomic
null
image30
AI_GENERATED
tools
property_inference
Q2
How many tools are designed to grip or tighten other objects?
5
functional
wrenches
image30
AI_GENERATED
tools
counterfactual_reasoning
Q3
If all orange handles were wooden, how many wooden objects would be visible?
2
physical
table, handle
image31
AI_GENERATED
library
direct_recognition
Q1
How many loose pieces of furniture are present?
5
taxonomic
dresser, desk, 2 chairs, 1 stool
image31
AI_GENERATED
library
property_inference
Q2
How many objects are on top of desks?
3
relational
book on desk, globe on dresser
image31
AI_GENERATED
library
counterfactual_reasoning
Q3
If all stools were replaced by paintings, how many paintings would there be?
3
physical
null
image32
AI_GENERATED
library
direct_recognition
Q1
How many objects have multiple legs?
4
physical
2 chairs, desk, dresser
image32
AI_GENERATED
library
property_inference
Q2
How many items hang on the walls?
2
relational
null
image32
AI_GENERATED
library
counterfactual_reasoning
Q3
If all the books were removed from the shelves, how many empty rows would be visible?
6
physical
null
image33
AI_GENERATED
kitchen
direct_recognition
Q1
How many tools are present?
4
physical
null
image33
AI_GENERATED
kitchen
property_inference
Q2
How many knives are leaning against the cutting board?
2
relational
null
image33
AI_GENERATED
kitchen
counterfactual_reasoning
Q3
If the cutting boards had handles, how many objects would handles would be present?
8
physical
2 kettles, 4 tools, 2 planks
image34
AI_GENERATED
kitchen
direct_recognition
Q1
How many shelves are present?
5
physical
null
End of preview. Expand in Data Studio

ORBIT: An Object Property Reasoning Benchmark for Visual Inference Tasks

Inspired by human object categorization, this repository introduces ORBIT, a comprehensive benchmark designed to evaluate the abilities of Vision–Language Models (VLMs) to reason about abstract object properties. ORBIT spans four object property dimensions (physical, taxonomic, functional, relational), three levels of reasoning complexity (direct recognition, property inference, counterfactual reasoning), and three visual domains (photographic/real, animated, AI-generated).

📄 Paper | 📚 arXiv | 💻 Code

Uses:

This dataset is designed to test VLMs through count-based questions, enabling evaluation of how well they reason about abstract object properties across different visual contexts.

Fields:

  • image_id: the image number (120 under each image_type).
  • image_type: the three visual domains (photographic/real, animated, AI-generated).
  • theme: label to indicate image theme.
  • reasoning_complexity: the three reasoning complexity levels (direct recognition, property inference, counterfactual).
  • question_id: the question number (three levels of reasoning_complexity).
  • question: the task for the specific level.
  • answer: the ground truth/correct answer to the question.
  • property_category: the four property dimensions (physical, taxonomic, functional, relational).
  • objects: list of detected objects part of ground truth (reasoning for answer).
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