iNaturalist competition details
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Updated
May 26, 2021 - Python
iNaturalist competition details
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
An API for identifying cougars v.s. bobcats v.s. other USA cat species
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
Python client for iNaturalist
Analyzing basic network responses to novel classes
Identify plants, birds, and insects in photos. Should an identification to species be unsuccessful, an identification to a higher taxonomic level - like genus, family, or order - is made.
Introductory lesson to generate range maps for butterfly-host plant interactions and predict distributional shifts using publicly available biodiversity data and data science tools
Progressive Web App for the Wild Orchid Watch citizen science project
Tag your nature photos with iNat taxonomy and observation metadata
Red Discord Bot V3 cogs for naturalists.
A Jupyter notebook to query the iNaturalist API
Data conversion tools for iNaturalist observations and taxonomy
The iNaturalist Localization Dataset from "On Label Granularity and Object Localization" (ECCV 2022).
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