airctic/icevision

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

50
/ 100
Established

This framework helps machine learning engineers or data scientists build and train computer vision models for tasks like object detection, segmentation, and classification. It takes raw image datasets and outputs trained models capable of identifying objects or patterns within those images. Its primary users are ML practitioners developing visual AI solutions.

870 stars. No commits in the last 6 months.

Use this if you are a machine learning engineer working with image data and need a flexible toolkit to experiment with different deep learning models and training libraries for computer vision tasks.

Not ideal if you are a business user without a technical background, as this is a developer-focused framework for building AI models, not a ready-to-use application.

computer-vision deep-learning object-detection image-segmentation machine-learning-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

870

Forks

148

Language

Python

License

Apache-2.0

Last pushed

Nov 26, 2024

Commits (30d)

0

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