Self-contrastive Dataset (Global)
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/yonglleee/UrbanSTCL
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资源简介：
该数据集由全球10个城市各提供的10万张图片构建而成，总计包含100万张图片，旨在促进自监督对比学习。在训练过程中，通过应用数据增强技术生成正样本对。该数据集的规模达到100万张图片，任务是对自监督对比学习的研究。
This dataset is constructed using 100,000 images from each of 10 global cities, resulting in a total of 1 million images. It is designed to advance research in self-supervised contrastive learning. During the training phase, positive sample pairs are generated by applying data augmentation techniques. Boasting a scale of 1 million images, this dataset is tailored for research on self-supervised contrastive learning.
提供机构：
Google Street View API
