| --- |
| 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](https://huggingface.co/datasets/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 |
|
|
| 1. Download `val.tar.gz`. |
| 2. Extract it to a local data directory. |
| 3. Use [SEU-VIPGroup/FG-BMK](https://huggingface.co/datasets/SEU-VIPGroup/FG-BMK) for the corresponding question files, class lists, train/test splits, and evaluation scripts. |
| 4. Point the FG-BMK evaluation scripts to the extracted image folder. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @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. |
|
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|
