zhanghang1989/ResNeSt
ResNeSt: Split-Attention Networks
This project offers an improved version of neural networks, specifically designed to make computer vision tasks more accurate and efficient. It takes in raw image data and outputs highly precise analyses for tasks like identifying individual objects or segmenting different parts of an image. This tool is ideal for researchers and engineers developing advanced image recognition systems for various applications.
3,264 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are building or enhancing computer vision models for object detection, instance segmentation, or semantic segmentation and need a powerful, pre-trained backbone.
Not ideal if you are looking for a plug-and-play application for general image classification without diving into model architecture or if your focus is not on deep learning-based computer vision.
Stars
3,264
Forks
495
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 09, 2022
Commits (30d)
0
Dependencies
7
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