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
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
An API for identifying cougars v.s. bobcats v.s. other USA cat species
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.
Tag your nature photos with iNat taxonomy and observation metadata
A website that tells you where your nearest owls are!
Red Discord Bot V3 cogs for naturalists.
Data conversion tools for iNaturalist observations and taxonomy
The iNaturalist Localization Dataset from "On Label Granularity and Object Localization" (ECCV 2022).
Introductory lesson to generate range maps for butterfly-host plant interactions and predict distributional shifts using publicly available biodiversity data and data science tools
This tool reads the route of a hike and generates a table of iNaturalist observations along the trails. It also shows the observations and the route of the hike on a map. Moreover, it saves waypoints of the iNaturalist observations for offline navigation with a GPS device or smartphone.
A Lightroom Classic plugin for publishing to iNaturalist
Add a description, image, and links to the inaturalist topic page so that developers can more easily learn about it.
To associate your repository with the inaturalist topic, visit your repo's landing page and select "manage topics."