Techniques for deep learning with satellite & aerial imagery
Les fonctionnalités principales de robmarkcole/satellite-image-deep-learning sont : Awesome List, Vision par ordinateur, Computer Vision and Image Processing, Remote Sensing Resources.
Les alternatives open-source à robmarkcole/satellite-image-deep-learning incluent : balavenkatesh3322/cv-pretrained-model — A collection of computer vision pre-trained models. wenhwu/awesome-remote-sensing-change-detection — A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote… kjw0612/awesome-deep-vision — A curated list of deep learning resources for computer vision. jbhuang0604/awesome-computer-vision — This project is a comprehensive, community-driven repository that serves as a centralized catalog for computer vision… sindresorhus/awesome — This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks,… pytorch/vision — This project is a comprehensive computer vision library for the PyTorch ecosystem, providing a standardized collection…
A collection of computer vision pre-trained models.
A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
This project is a comprehensive, community-driven repository that serves as a centralized catalog for computer vision research and development. It functions as a structured index of academic papers, open-source software libraries, public datasets, and educational tutorials, providing a navigation point for the complex landscape of modern vision technology. The repository distinguishes itself through a taxonomy-based indexing system that maps the relationships between foundational research, influential academic figures, and their corresponding software implementations. By utilizing a lightweig
A curated list of deep learning resources for computer vision