wliafe/GQA200

GQA200 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.