manuelknott/ssl_eval_protocols
Code for the paper "A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification"
This tool helps machine learning researchers compare different methods for training image classification models efficiently. It takes various self-supervised pre-trained models and image datasets as input, then outputs performance metrics like accuracy for different evaluation techniques. Researchers focused on computer vision and deep learning would use this to understand how well different pre-training strategies generalize.
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Use this if you are a machine learning researcher evaluating different self-supervised pre-training algorithms for image classification tasks.
Not ideal if you are looking for a ready-to-use image classification model or a tool for general machine learning model deployment.
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Language
Python
License
MIT
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Last pushed
Aug 28, 2024
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