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: 2317848
Instance ID: 2317848001
Object Name: tank
Image ID: 2388553
Instance ID: 2388553006
Object Name: fridge
Image ID: 2394057
Instance ID: 2394057003
Object Name: nightstand
Image ID: 2397933
Instance ID: 2397933003
Object Name: slice
Image ID: 285871
Instance ID: 285871003
Object Name: animal
Image ID: 2376614
Instance ID: 2376614005
Object Name: rim
Image ID: 2416294
Instance ID: 2416294007
Object Name: shower curtain
Image ID: 2394588
Instance ID: 2394588000
Object Name: polar bear
Image ID: 2388268
Instance ID: 2388268004
Object Name: mound
Image ID: 2411540
Instance ID: 2411540000
Object Name: bathtub
Image ID: 2387274
Instance ID: 2387274002
Object Name: zipper
Image ID: 2382160
Instance ID: 2382160000
Object Name: plate
Image ID: 2407302
Instance ID: 2407302005
Object Name: hat
Image ID: 4941
Instance ID: 4941001
Object Name: ice
Image ID: 2352958
Instance ID: 2352958001
Object Name: sink
Image ID: 2410178
Instance ID: 2410178003
Object Name: paws
Image ID: 2391172
Instance ID: 2391172004
Object Name: barn
Image ID: 2366111
Instance ID: 2366111001
Object Name: ledge
Image ID: 303
Instance ID: 303004
Object Name: crosswalk
Image ID: 2344567
Instance ID: 2344567001
Object Name: pattern
Image ID: 2372647
Instance ID: 2372647003
Object Name: teapot
Image ID: 2367527
Instance ID: 2367527000
Object Name: cake
Image ID: 2327314
Instance ID: 2327314002
Object Name: phone
Image ID: 2364094
Instance ID: 2364094005
Object Name: toilet seat
Image ID: 2405784
Instance ID: 2405784004
Object Name: wing
Image ID: 1592746
Instance ID: 1592746002
Object Name: ceiling
Image ID: 2407512
Instance ID: 2407512000
Object Name: scooter
Image ID: 2384413
Instance ID: 2384413003
Object Name: seat
Image ID: 2407619
Instance ID: 2407619001
Object Name: bus
Image ID: 2403123
Instance ID: 2403123005
Object Name: bed
Image ID: 2317784
Instance ID: 2317784000
Object Name: cup
Image ID: 2315738
Instance ID: 2315738002
Object Name: arm rest
Image ID: 2375568
Instance ID: 2375568000
Object Name: cab
Image ID: 2393179
Instance ID: 2393179001
Object Name: ski
Image ID: 2379957
Instance ID: 2379957002
Object Name: base
Image ID: 2316513
Instance ID: 2316513002
Object Name: cow
Image ID: 285834
Instance ID: 285834004
Object Name: fridge
Image ID: 2332519
Instance ID: 2332519009
Object Name: urinal
Image ID: 2399748
Instance ID: 2399748000
Object Name: zebra
Image ID: 2389715
Instance ID: 2389715001
Object Name: stars
Image ID: 2320271
Instance ID: 2320271000
Object Name: doll
Image ID: 2389941
Instance ID: 2389941002
Object Name: chicken
Image ID: 2321932
Instance ID: 2321932005
Object Name: lamb
Image ID: 1451
Instance ID: 1451011
Object Name: porch
Image ID: 2399883
Instance ID: 2399883000
Object Name: ship
Image ID: 2383005
Instance ID: 2383005003
Object Name: crosswalk
Image ID: 303
Instance ID: 303001
Object Name: crosswalk
Image ID: 2390783
Instance ID: 2390783003
Object Name: divider
Image ID: 2383941
Instance ID: 2383941004
Object Name: billboard
Image ID: 1592672
Instance ID: 1592672002
Object Name: trash
Positives
Negatives