CiNAT-Birds-2021 (Cross-View iNaturalist Birds 2021)
Introduced by Sastry et al. in BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
CiNAT Birds 2021 (Cross-View iNaturalist-2021 Birds) dataset contains ground-level images of bird species along with satellite images associated with the geolocation of the ground-level images. In total, there are 413,959 pairs for training and 14,831 pairs for validation and testing. The ground-level images are of varying sizes while the satellite images are of size 256x256. Additionally, the dataset comes with rich metadata for each image - geolocation, date, observer id, taxonomy.
Papers
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