A SAM-based model for instance segmentation of images of grains

Earth observation tools for Meta AI Segment Anything

Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

Introduction to convolutional neural networks (CNNs) with a remote sensing example.

A random forest try on the landslide4sense challenge.

Modeling animal movement in forest

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

Modeling animal movement in forest

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.