open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
This framework helps computer vision practitioners train, evaluate, and deploy custom computer vision models for tasks like object detection or anomaly recognition. You provide your image datasets, and it helps you produce optimized models ready for deployment. This is ideal for machine learning engineers and data scientists working on vision-based applications, even those with limited deep learning experience.
1,217 stars. Actively maintained with 162 commits in the last 30 days.
Use this if you need a low-code solution to efficiently develop and deploy computer vision models using transfer learning, especially for edge devices with Intel hardware.
Not ideal if you need a highly custom deep learning model built from scratch without leveraging existing architectures or if your primary hardware is not Intel-based.
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1,217
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463
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
162
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