satellite-imagery

8 projets partagent ce topic GitHub

Les traits relient les membres réellement apparentés entre eux. La taille des points suit les étoiles.

🧬 Membres

Techniques for deep learning with satellite & aerial imagery

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

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

geospatial-machine-learning

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Satellite-Imagery-Datasets-Containing-Ships

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship…

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Data Preparation for Satellite Machine Learning

Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.

🔗 Familles voisines

remote-sensing 13 convolutional-neural-networks 74 earth-observation 6 geospatial 10 classification 74 image-segmentation 39 keras 105 semantic-segmentation 60

Mesuré à partir des topics GitHub communs aux deux projets, pondérés par leur rareté.