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awesome-satellite-imagery-datasets

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

building-footprint-segmentation

Building footprint segmentation from satellite and aerial imagery

data-agumentation-for-cnn

deep-satellite-image-segmentation

Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)

deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

digit-recognizer

A Machine Learning classifier for recognizing the digits for humans 🎰

hed

code for Holistically-Nested Edge Detection

holy-edge

Holistically-Nested Edge Detection

mnist_cnn_cuda

Recognition of hand written numbers using Convolutional Neural Network implemented in Python (for reference) and in CUDA C++ on GPU device.

oasispiwind

Toy UK windstorm model

opencv

Open Source Computer Vision Library

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

rembg-greenscreen

Rembg Video Virtual Green Screen Edition

river-network-extraction-from-satellite-image-using-unet-and-tensorflow

We presented our initial model for detecting rivers and watersheds from satellite pictures in this study, which was based on image processing methodology. The methodology was tested on a set of images obtained from the Sentinel-2 Satellite. For better recognition of rivers and watersheds, a new level of segmentation was used. We obtained a good accuracy using our proposed model, which is significantly higher than other U-net and Tensorflow implemented models available to date. This study could pave the way for future studies on developing water resource management, which is critical for future generations. The suggested methodology is generic in the sense that it can be used to extract various arboreal networks in medical pictures, such as blood vessels.

robosat

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

satellite-image-building-segmentation

Building Segmentation from Fused Satellite and Aerial Imagery Datasets using U-Net in FastAI

satellite-image-segmentation

Segmentation of Satellite Images

satellite-image-segmentation-for-flood-damage-analysis

Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

unet_building-segmentation

unetseg

U-Net semantic segmentation for satellite imagery

unified-focal-loss