Datasets:

SEU-VIPGroup
/

FG-BMK-image-Val

pretty_name: FG-BMK Image Archive - iNat2021 validation
license: other
language:
  - en
task_categories:
  - image-classification
tags:
  - fine-grained-recognition
  - large-vision-language-models
  - benchmark
  - image-dataset

FG-BMK Image Archive: iNat2021 validation

This repository stores the iNat2021 validation image archive used by FG-BMK. It is a companion repository for SEU-VIPGroup/FG-BMK, which contains the benchmark metadata, questions, splits, and evaluation code.

Files

val.tar.gz: image archive for the iNat2021 validation subset.

Use with FG-BMK

Download val.tar.gz.
Extract it to a local data directory.
Use SEU-VIPGroup/FG-BMK for the corresponding question files, class lists, train/test splits, and evaluation scripts.
Point the FG-BMK evaluation scripts to the extracted image folder.

Citation

@article{yu2026fgbmk,
  title   = {Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: From Evaluation to Diagnosis},
  author  = {Yu, Hong-Tao and Xie, Chen-Wei and Peng, Yuxin and Belongie, Serge and Wei, Xiu-Shen},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year    = {2026}
}

License and Data Terms

This archive is provided for FG-BMK evaluation. Users must follow the license and usage terms of the original iNat2021 validation dataset as well as the FG-BMK project terms.