visipedia/inat_loc
The iNaturalist Localization Dataset from "On Label Granularity and Object Localization" (ECCV 2022).
The iNatLoc500 dataset helps researchers and conservationists develop and evaluate computer vision models for identifying animal species in images. It provides a large collection of animal photographs, labeled with species information and, for evaluation, precise bounding boxes around the animal. Ecologists, zoologists, or wildlife researchers interested in automated species recognition would use this.
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Use this if you are developing or testing computer vision algorithms that need to precisely locate and identify specific animal species within images, especially when starting with only image-level species labels.
Not ideal if you are looking for a dataset of plants, fungi, or other non-animal organisms, or if your primary need is for datasets with multiple species per image for detection tasks.
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Aug 01, 2023
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