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README.md
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- STL-10
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license: apache-2.0
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---
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## Description
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This is a simple image classification model trained with **Semi-supervised image classification using contrastive pretraining with SimCLR**
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The model was **trained on STL-10**, which includes ten classes: airplane, bird, car, cat, deer, dog, horse, monkey, ship, truck.
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## Background
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(by András Béres on <a href='https://keras.io/examples/vision/semisupervised_simclr/' target='_blank'>**keras.io**</a> )
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- STL-10
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license: apache-2.0
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---
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# Semi-supervised image classification using contrastive pretraining with SimCLR
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## Description
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This is a simple image classification model trained with **Semi-supervised image classification using contrastive pretraining with SimCLR**
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The model was **trained on STL-10**, which includes ten classes: airplane, bird, car, cat, deer, dog, horse, monkey, ship, truck.
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##Metrics
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There is a public W&B dashboard available <a href='https://wandb.ai/johko-cel/semi-supervised-contrastive-learning-simclr'>here</a> which illustrates the difference in different metrics such as accuracy of a baseline supervised trained model, a purely unsupervised model (pretrain) and the supervised finetuned model based on the unsupervised.
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## Background
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(by András Béres on <a href='https://keras.io/examples/vision/semisupervised_simclr/' target='_blank'>**keras.io**</a> )
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