glab-caltech/FGVQA

FGVQA This repository contains the FGVQA benchmark suite introduced in the paper Same or Not? Enhancing Visual Perception in Vision-Language Models.FGVQA contains 12,000 challenging (image, question, answer) tuples emphasizing fine-grained image understanding. The benchmark suite is composed of six sub-benchmarks: TWIN-eval ILIAS Google Landmarks v2 MET CUB Inquire For evaluating on the dataset with LMMS-eval, please refer to this repo. Citation If you use the… See the full description on the dataset page: https://huggingface.co/datasets/glab-caltech/FGVQA.

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