UNetpp-Semantic-Segmentation-on-Multispectral-Satellite-Imagery

Techniques for deep learning with satellite & aerial imagery

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

?? List of satellite image training datasets with annotations for computer vision and deep learning

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

Google Earth Enterprise - Open Source

Rasterio reads and writes geospatial raster datasets

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

A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.