4
white
all
all
true
How to use?
Attribute: list of attributes separated by comma (e.g., "red, white, round"). Each attribute can also be negative (e.g., "not standing, talking").
Input "all" if you want to see all attributes for a particular object category.
Object: filter by object names (e.g., car, cat, dog, man, woman, building, apple). Input all if you want to see given attribute for all object categories
ImageID: filter by image_id in case you want to see a specific image (default: all).
Box/mask: whether you want to see bounding box or segmentation mask. Note that some instances are from GQA so they don't have segmentation masks.
You can click on an image to see its full list of attribute annotations.
Image ID: 2319407
Instance ID: 2319407003
Object Name: platter
Image ID: 2364991
Instance ID: 2364991002
Object Name: pieces
Image ID: 2390676
Instance ID: 2390676002
Object Name: cell phone
Image ID: 2409569
Instance ID: 2409569002
Object Name: lamp
Image ID: 2363192
Instance ID: 2363192002
Object Name: zipper
Image ID: 2386436
Instance ID: 2386436005
Object Name: ladder
Image ID: 2317501
Instance ID: 2317501002
Object Name: animal
Image ID: 2393766
Instance ID: 2393766004
Object Name: blender
Image ID: 2412484
Instance ID: 2412484004
Object Name: splash
Image ID: 2412906
Instance ID: 2412906001
Object Name: scale
Image ID: 2394277
Instance ID: 2394277004
Object Name: dog
Image ID: 2382824
Instance ID: 2382824004
Object Name: lid
Image ID: 2361852
Instance ID: 2361852000
Object Name: pitcher
Image ID: 2407590
Instance ID: 2407590005
Object Name: toilet seat
Image ID: 2362874
Instance ID: 2362874001
Object Name: holder
Image ID: 2379541
Instance ID: 2379541002
Object Name: bowl
Image ID: 713631
Instance ID: 713631000
Object Name: headlight
Image ID: 2372277
Instance ID: 2372277000
Object Name: cat
Image ID: 2417320
Instance ID: 2417320002
Object Name: line
Image ID: 2408417
Instance ID: 2408417000
Object Name: shoes
Image ID: 2408910
Instance ID: 2408910013
Object Name: ducks
Image ID: 2380859
Instance ID: 2380859000
Object Name: toilet bowl
Image ID: 2359630
Instance ID: 2359630000
Object Name: slope
Image ID: 1592286
Instance ID: 1592286002
Object Name: teapot
Image ID: 2388459
Instance ID: 2388459000
Object Name: fountain
Image ID: 2397573
Instance ID: 2397573004
Object Name: bathtub
Image ID: 2382653
Instance ID: 2382653008
Object Name: pile
Image ID: 2383242
Instance ID: 2383242005
Object Name: dog
Image ID: 2403123
Instance ID: 2403123005
Object Name: bed
Image ID: 2389441
Instance ID: 2389441004
Object Name: reflection
Image ID: 2411998
Instance ID: 2411998001
Object Name: board
Image ID: 2401845
Instance ID: 2401845002
Object Name: counter top
Image ID: 2392281
Instance ID: 2392281007
Object Name: snowboard
Image ID: 2408321
Instance ID: 2408321005
Object Name: wood
Image ID: 2386112
Instance ID: 2386112003
Object Name: clock tower
Image ID: 2411420
Instance ID: 2411420006
Object Name: shower
Image ID: 286028
Instance ID: 286028003
Object Name: bus
Image ID: 2377929
Instance ID: 2377929001
Object Name: archway
Image ID: 2352185
Instance ID: 2352185018
Object Name: mug
Image ID: 2372489
Instance ID: 2372489000
Object Name: billboard
Image ID: 150555
Instance ID: 150555002
Object Name: balloon
Image ID: 2380749
Instance ID: 2380749000
Object Name: concrete
Image ID: 2413479
Instance ID: 2413479001
Object Name: hood
Image ID: 497986
Instance ID: 497986004
Object Name: river
Image ID: 2387204
Instance ID: 2387204001
Object Name: pastry
Image ID: 1592740
Instance ID: 1592740001
Object Name: tank
Image ID: 2368337
Instance ID: 2368337001
Object Name: slope
Image ID: 2376015
Instance ID: 2376015005
Object Name: bread
Image ID: 2410178
Instance ID: 2410178003
Object Name: paws
Image ID: 2361484
Instance ID: 2361484001
Object Name: column
Positives
Negatives