Akrielz/vision_models_playground
Playground for testing and implementing various Vision Models
This project helps machine learning practitioners explore and test various computer vision models for tasks like identifying objects in images or classifying them. You input raw images, and the models output either identified objects with their locations or classifications of what's in the picture. It's designed for researchers, data scientists, or MLOps engineers who need to understand how different vision models perform.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning practitioner who wants to experiment with or implement various established computer vision architectures like YOLO, ResNet, or Vision Transformers for object detection or image classification tasks.
Not ideal if you need a plug-and-play solution for a specific image analysis problem without needing to understand the underlying model architectures or customize their components.
Stars
13
Forks
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 30, 2024
Commits (30d)
0
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