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This is the supporting code for the visual abstention benchmark, RealBirdID (hosted in [HuggingFace]). It was proposed in:

RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs

Logan Lawrence, Mustafa Chasmai, Rangel Daroya, Wuao Liu, Seoyun Jeong, Aaron Sun, Max Hamilton, Fabien Delattre, Oindrila Saha, Subhransu Maji, Grant Van Horn

Computer Vision Lab @ UMass

CVPR'26

realbirdid_preview

Getting Started

We highly recommend running quickstart_ipynbs/view_random_example.ipynb to confirm you can load the data and get a sense of what it looks like. If you can run this, you're basically good to go!

Citation

If you find this work useful, please consider citing:

@inproceedings{lawrence2026realbirdid,
  title={Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions},
  author={Lawrence, Logan and Chasmai, Mustafa and Daroya, Rangel and Liu, Wuao and Jeong, Seoyun and Sun, Aaron and Hamilton, Max and Delattre, Fabien and Saha, Oindrila and Maji, Subhransu and others},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2026}
}

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