Guillem96/data2vec-vision

PyTorch implementation of Data2Vec self-supervised approach for vision use cases.

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This project helps machine learning engineers build powerful computer vision models for tasks like image recognition or object detection, even with limited labeled data. It takes a collection of images and outputs a trained model that can extract meaningful features from new images. This is for machine learning engineers who want to pre-train image understanding models more efficiently.

No commits in the last 6 months.

Use this if you need to train a robust image feature extractor or image understanding model without relying on massive amounts of manually labeled data.

Not ideal if you're looking for a ready-to-use model with pre-trained weights for large-scale production use, as this project focuses on providing the implementation for training.

computer-vision image-recognition unsupervised-learning machine-learning-engineering deep-learning-training
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

18

Forks

5

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Oct 07, 2022

Commits (30d)

0

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