Citation
Birdbrain is for non-commercial research and educational use only. If you use the datasets or this project in published work, please cite the sources below.
CUB-200-2011 dataset
EfficientNet-B0 and ResNet-50 CUB models use CUB-200-2011. BirdBrain Voyager uses the iNaturalist 2021 birds subset.
The Caltech-UCSD Birds-200-2011 Dataset
Wah, C.; Branson, S.; Welinder, P.; Perona, P.; Belongie, S.
California Institute of Technology, 2011.
Technical Report CNS-TR-2011-001
Dataset home: https://www.vision.caltech.edu/datasets/cub_200_2011/
CUB images are restricted to non-commercial research and educational use. See the official dataset website for terms.
iNaturalist 2021 dataset
iNat training experiments use the FGVC8 challenge data; Birdbrain filters to birds (Aves) only.
Grant Van Horn and macaodha. iNat Challenge 2021 - FGVC8.
https://kaggle.com/competitions/inaturalist-2021, 2021. Kaggle.
Follow the Kaggle competition and iNaturalist dataset terms. This project uses the data for research and educational fine-tuning only—not for commercial products or redistribution of the raw images.
BibTeX (CUB)
@techreport{WelinderEtal2010,
Author = {C. Wah and S. Branson and P. Welinder and P. Perona and S. Belongie},
Title = {Caltech-UCSD Birds-200-2011},
Institution = {California Institute of Technology},
Year = {2011},
Number = {CNS-TR-2011-001}
}BibTeX (iNat 2021)
@misc{inaturalist2021,
author = {Grant Van Horn and macaodha},
title = {iNat Challenge 2021 - {FGVC8}},
howpublished = {\url{https://kaggle.com/competitions/inaturalist-2021}},
year = {2021},
publisher = {Kaggle}
}Model weights
Checkpoints use ImageNet-pretrained backbones from torchvision (EfficientNet-B0, ResNet50). Cite torchvision / the original backbone papers if you publish results that depend on those weights.
Full citations and use notes are also in the repository at docs/citation.md.