#Aerial-imagery
Showing 10 of 10 repositories tagged #aerial-imagery, ranked by stars
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Detect objects in drone videos and plot them on a map
A collection of some awesome public object detection and recognition datasets.
Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
Deep Aerial Image Recognition
Official Implementation of Deep Aerial Image Matching using PyTorch
VisDrone aerial object detection toolkit with 33 models (Torchvision + YOLO), training, evaluation, video inference, benchmarking, and annotation conversion.
Unstructured Change detection in satellite imagery
Train your own neural networks to segment orthophotos.