1
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: 2392281
Instance ID: 2392281007
Object Name: snowboard
Image ID: 2359715
Instance ID: 2359715005
Object Name: hair
Image ID: 2318856
Instance ID: 2318856004
Object Name: carriage
Image ID: 285745
Instance ID: 285745000
Object Name: cell phone
Image ID: 2383594
Instance ID: 2383594002
Object Name: ice
Image ID: 2412080
Instance ID: 2412080005
Object Name: pillow
Image ID: 4779
Instance ID: 4779000
Object Name: card
Image ID: 2365530
Instance ID: 2365530002
Object Name: side
Image ID: 2319629
Instance ID: 2319629003
Object Name: toilet seat
Image ID: 2414157
Instance ID: 2414157000
Object Name: canopy
Image ID: 2320866
Instance ID: 2320866002
Object Name: cake
Image ID: 4278
Instance ID: 4278000
Object Name: hood
Image ID: 2416319
Instance ID: 2416319001
Object Name: dish
Image ID: 2400672
Instance ID: 2400672004
Object Name: water
Image ID: 2416259
Instance ID: 2416259000
Object Name: table top
Image ID: 2377685
Instance ID: 2377685013
Object Name: train car
Image ID: 2416190
Instance ID: 2416190003
Object Name: decoration
Image ID: 2409612
Instance ID: 2409612002
Object Name: racket
Image ID: 2388532
Instance ID: 2388532002
Object Name: shore
Image ID: 2362851
Instance ID: 2362851003
Object Name: comforter
Image ID: 2384645
Instance ID: 2384645005
Object Name: urinal
Image ID: 2413068
Instance ID: 2413068011
Object Name: tub
Image ID: 2406463
Instance ID: 2406463003
Object Name: orange
Image ID: 2403885
Instance ID: 2403885000
Object Name: cup
Image ID: 4415
Instance ID: 4415002
Object Name: steeple
Image ID: 2377499
Instance ID: 2377499001
Object Name: comforter
Image ID: 2401559
Instance ID: 2401559003
Object Name: slope
Image ID: 2389090
Instance ID: 2389090003
Object Name: metal
Image ID: 2360019
Instance ID: 2360019002
Object Name: saucer
Image ID: 2379807
Instance ID: 2379807000
Object Name: toilet bowl
Image ID: 2405
Instance ID: 2405001
Object Name: crosswalk
Image ID: 2413876
Instance ID: 2413876005
Object Name: clothing
Image ID: 2359623
Instance ID: 2359623002
Object Name: racket
Image ID: 2403146
Instance ID: 2403146001
Object Name: tub
Image ID: 2401722
Instance ID: 2401722004
Object Name: comforter
Image ID: 2387541
Instance ID: 2387541004
Object Name: surfboard
Image ID: 2385232
Instance ID: 2385232005
Object Name: log
Image ID: 2379442
Instance ID: 2379442003
Object Name: train car
Image ID: 2396966
Instance ID: 2396966003
Object Name: steeple
Image ID: 2401141
Instance ID: 2401141000
Object Name: billboard
Image ID: 2408910
Instance ID: 2408910013
Object Name: ducks
Image ID: 2415625
Instance ID: 2415625008
Object Name: wool
Image ID: 2360726
Instance ID: 2360726003
Object Name: tusk
Image ID: 2412203
Instance ID: 2412203003
Object Name: feathers
Image ID: 508
Instance ID: 508005
Object Name: dish
Image ID: 2375139
Instance ID: 2375139002
Object Name: fingers
Image ID: 2371600
Instance ID: 2371600000
Object Name: scarf
Image ID: 2410209
Instance ID: 2410209001
Object Name: cattle
Image ID: 2390208
Instance ID: 2390208001
Object Name: staircase
Image ID: 2382930
Instance ID: 2382930004
Object Name: vase
Positives
Negatives