iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7m Images of 2, 959 Crop and Weed Species

Jain et al. "iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7m Images of 2, 959 Crop and Weed Species." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.

[Jain et al. "iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7m Images of 2, 959 Crop and Weed Species." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025.](https://mlanthology.org/cvprw/2025/jain2025cvprw-inatag/)

@inproceedings{jain2025cvprw-inatag,
  title     = {{iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7m Images of 2, 959 Crop and Weed Species}},
  author    = {Jain, Naitik and Joshi, Amogh and Earles, Mason},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2025},
  pages     = {5501-5510},
  url       = {https://mlanthology.org/cvprw/2025/jain2025cvprw-inatag/}
}