FrancescoSaverioZuppichini/glasses
High-quality Neural Networks for Computer Vision 😎
This project provides pre-trained image classification and segmentation models for computer vision tasks. It takes raw images as input and outputs classifications (e.g., "cat," "dog") or segmented images (pixel-level identification of objects). This is ideal for machine learning engineers and researchers who build applications that need to understand or modify images.
447 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly integrate high-quality, pre-built neural network models for image classification or segmentation into your computer vision application, with an emphasis on readable and customizable code.
Not ideal if you are a beginner looking for a simple drag-and-drop solution without any coding, or if your primary focus is on obscure or highly specialized computer vision tasks not covered by common models.
Stars
447
Forks
36
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 02, 2022
Commits (30d)
0
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