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@@ -200,4 +200,4 @@ This cleaned version of the STL-10 dataset was prepared by [https://github.com/S
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  This modified dataset (including the cleaned training set, original test set prepared in this format, and associated metadata files) is released under the **Apache License 2.0**.
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  The original STL-10 images are sourced from ImageNet. While STL-10 is widely used for research, be mindful of the original image sources if your use case extends beyond typical research applications.
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- This dataset was used in the paper [SemiOccam: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels](https://arxiv.org/abs/2506.03582).
 
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  This modified dataset (including the cleaned training set, original test set prepared in this format, and associated metadata files) is released under the **Apache License 2.0**.
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  The original STL-10 images are sourced from ImageNet. While STL-10 is widely used for research, be mindful of the original image sources if your use case extends beyond typical research applications.
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+ This dataset was used in the paper [SemiOccam: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels](https://huggingface.co/papers/2506.03582).