Datasets › iNat2021
iNat2021 (iNaturalist 2021)
iNat2021 is a large-scale image dataset collected and annotated by community scientists that contains over 2.7M images from 10k different species.
To make the dataset more accessible the authors have also created a "mini" training dataset with 50 examples per species for a total of 500K images. Each species has 10 validation images, for a total of 100k validation images. There are a total of 500,000 test images. In addition to its overall scale, the main distinguishing feature of iNat2021 is that it contains at least 152 images in the training set for each species.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 27 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Custom (research-only)
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- iNat2021
- iNat2021-mini
2 variant names, as the archive lists them.
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