| satellite-image-deep-learning/techniques |
10,034 |
|
0 |
0 |
about 2 months ago |
0 |
|
2 |
apache-2.0 |
|
| Techniques for deep learning with satellite & aerial imagery |
| microsoft/torchgeo |
2,067 |
|
0 |
4 |
about 2 years ago |
10 |
November 10, 2023 |
123 |
mit |
Python |
| TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data |
| jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships |
561 |
|
0 |
0 |
about 1 year ago |
0 |
|
0 |
mit |
|
| This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis. |
| satellite-image-deep-learning/datasets |
367 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
|
|
| Datasets for deep learning with satellite & aerial imagery |
| Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets |
231 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided. |
| worldstrat/worldstrat |
197 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
bsd-3-clause |
Jupyter Notebook |
| The WorldStrat Dataset |
| Jakaria08/EESRGAN |
191 |
|
0 |
0 |
over 3 years ago |
0 |
|
16 |
gpl-3.0 |
Python |
| Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network |
| Agri-Hub/Callisto-Dataset-Collection |
142 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
apache-2.0 |
|
| A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data. |
| ameraner/dsen2-cr |
101 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
gpl-3.0 |
Python |
| DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset. |
| Mstfakts/Building-Detection-MaskRCNN |
39 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Building detection from the SpaceNet dataset by using Mask RCNN. |
