GQA200 is the scene-graph-generation benchmark subset of
GQA. This repository
uses the standard GQA200 taxonomy with 200 foreground object classes
and 100 foreground predicate classes.
Splits
Split
Images
Source
train
57,623
Standard GQA200 Train
validation
8,209
Standard GQA200 Test
The standard GQA200 Test annotations are intentionally exposed as
validation. This repository does not define a separate test split.
Fields… See the full description on the dataset page: https://huggingface.co/datasets/wliafe/GQA200.
