he-yang/2025-rethinkdc-imagenet-el2n-ipc-50
收藏Hugging Face2025-02-11 更新2025-02-15 收录
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https://hf-mirror.com/datasets/he-yang/2025-rethinkdc-imagenet-el2n-ipc-50
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资源简介：
该数据集是根据论文《深度学习的数据节食：早期训练中找到重要样本》创建的，用于研究数据集压缩问题，特别是从图像而不是标签的角度进行压缩。数据集基于ImageNet，并经过EL2N和IPC-50的处理，可能用于图像压缩和效率提升的研究。
This dataset is created based on the paper Deep Learning on a Data Diet: Finding Important Examples Early in Training and is used to study dataset compression, especially focusing on compressing images rather than labels. The dataset is based on ImageNet and has been processed with EL2N and IPC-50, potentially for research on image compression and efficiency improvement.
提供机构：
he-yang
