Remotesensingandcomputervision
This contains personal reading list for remote sensing and applications of computer vision
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Satellite Imagery Datasets | 3,381 | 2 years ago | mit | |||||||
| 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning | ||||||||||
| Sahi | 3,340 |  | 12 | 3 months ago | 101 | November 05, 2023 | 11 | mit | Python | |
| Framework agnostic sliced/tiled inference + interactive ui + error analysis plots | ||||||||||
| Torchgeo | 2,067 |  | 4 | 3 months ago | 10 | November 10, 2023 | 123 | mit | Python | |
| TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data | ||||||||||
| Raster Vision | 1,956 |  | 7 | 3 months ago | 11 | October 17, 2023 | 42 | other | Python | |
| An open source library and framework for deep learning on satellite and aerial imagery. | ||||||||||
| Label Maker | 358 | 3 years ago | 18 | November 19, 2020 | 40 | mit | Python | |||
| Data Preparation for Satellite Machine Learning | ||||||||||
| Satellite Imagery Datasets Containing Ships | 340 | 25 days ago | mit | |||||||
| A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks. | ||||||||||
| Pythonfromspace | 298 | 6 years ago | 6 | bsd-3-clause | Jupyter Notebook | |||||
| Python Examples for Remote Sensing | ||||||||||
| Eye In The Sky | 248 | 2 years ago | 6 | apache-2.0 | Python | |||||
| Satellite Image Classification using semantic segmentation methods in deep learning | ||||||||||
| Geospatial Machine Learning | 196 | 6 years ago | mit | |||||||
| A curated list of resources focused on Machine Learning in Geospatial Data Science. | ||||||||||
| Farseg | 114 | 7 months ago | 1 | apache-2.0 | Python | |||||
| Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020) https://arxiv.org/pdf/2011.09766.pdf | ||||||||||
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