Popular GitHub Repositories for Aerial Imagery

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Official code of the paper "ReDet: A Rotation-Equivariant Detector for Aerial Object Detection" (CVPR 2021)

Tools for detecting wildlife in aerial images using active learning

Unstructured Change detection in satellite imagery

Semantic Segmentation of Aerial Images

[CVPR 2023] Repository for the UrbanLaneGraph Dataset & Benchmark and the LaneGNN approach

A U-net based ConvNet for NZ imagery to classify building outlines.

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding

Get started with landcover classification using machine learning and satellite or aerial imagery.

Semantic segmentation on aerial images (aka image classification) using a CNN-based UNet.

Semantic Classification of Aerial Images (RGB) from Drones using Unet

Urban-Worm is a Python library that integrates remote sensing imagery, street view data, and multimodal model to assess environments and urban units