Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution

Camille Garcin, Alexis Joly, Pierre Bonnet, Antoine Affouard, Jean-Christophe Lombardo, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph Salmon. Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution. In Joaquin Vanschoren, Sai Kit Yeung, editors, Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual. 2021. [doi]

@inproceedings{GarcinJBALCSLS21,
  title = {Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution},
  author = {Camille Garcin and Alexis Joly and Pierre Bonnet and Antoine Affouard and Jean-Christophe Lombardo and Mathias Chouet and Maximilien Servajean and Titouan Lorieul and Joseph Salmon},
  year = {2021},
  url = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/7e7757b1e12abcb736ab9a754ffb617a-Abstract-round2.html},
  researchr = {https://researchr.org/publication/GarcinJBALCSLS21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual},
  editor = {Joaquin Vanschoren and Sai Kit Yeung},
}