SA-1B(segment anything)
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下载链接：
https://openxlab.org.cn/datasets/OpenDataLab/SA-1B
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资源简介：
分割任何10亿 (SA-1B) 是一个数据集，旨在训练来自开放世界图像的通用对象分割模型。
SA-1B 由 1100 万张多样化、高分辨率、隐私保护图像和使用我们的数据引擎收集的 1.1B 高质量分割掩码组成。它旨在用于我们的数据许可允许的计算机视觉研究。
这些图像是从一家大型图片公司获得许可的。1.1B 掩码是使用我们的数据引擎生成的，所有这些都是由 Segment Anything Model (SAM) 完全自动生成的。
Segment Anything 10 Billion (SA-1B) is a dataset designed to train general-purpose object segmentation models from open-world images.
SA-1B consists of 11 million diverse, high-resolution, privacy-protected images and 1.1 billion high-quality segmentation masks collected using our data engine. It is intended for computer vision research permitted under our data license.
These images are licensed from a major stock photo company. The 1.1 billion masks were generated using our data engine, and all of them were fully automatically produced by the Segment Anything Model (SAM).
提供机构：
OpenDataLab
创建时间：
2023-04-06
