satellite-image-deep-learning/techniques

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

GeoAI: Artificial Intelligence for Geospatial Data

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

A curated list of awesome data labeling tools

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.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.