5 Repositories
Python inaturalist Libraries
Python client for the iNaturalist APIs
pyinaturalist Introduction iNaturalist is a community science platform that helps people get involved in the natural world by observing and identifyin
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C
This tool reads the route of a hike and generates a table of iNaturalist observations along the trails.
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.
iNaturalist observations along hiking trails
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.
Analyzing basic network responses to novel classes
novelty-detection Analyzing how AlexNet responds to novel classes with varying degrees of similarity to pretrained classes from ImageNet. If you find