
techniques
by satellite-image-deep-learning (organization)
Techniques for deep learning with satellite & aerial imagery (description from the project’s GitHub page)
Repository facts
- Stars
- 10,284
- Forks
- 1,645
- Open issues and pull requests
- 0
- Primary language
- Not detected
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- satellite-image-deep-learning · Organization
- Created
- Apr 16, 2018
- Last push
- Oct 17, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 5,381: satellite-image-deep-learning/datasets
Datasets for deep learning with satellite & aerial imagery
1,209 starsNo license file detectedLast push Oct 10, 2026
Rank 1,901: torchgeo/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
4,207 starsPythonMITLast push Oct 18, 2026
Rank 8,441: jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation…
608 starsMITLast push Jan 18, 2025
Rank 3,778: visual-layer/fastdup
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while signif…
1,915 starsPythonOther licenseLast push Aug 23, 2026
Rank 4,177: YunYang1994/TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.
1,696 starsJupyter NotebookMITLast push Mar 25, 2023
Rank 1,321: thtrieu/darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
6,141 starsPythonGPL-3.0Last push Oct 23, 2023