Image Net

提供者：刘唯

简介

Imagenet数据集有1400多万幅图片，涵盖2万多个类别；其中有超过百万的图片有明确的类别标注和图像中物体位置的标注，具体信息如下： 1）Total number of non-empty synsets: 21841 2）Total number of images: 14,197,122 3）Number of images with bounding box annotations: 1,034,908 4）Number of synsets with SIFT features: 1000 5）Number of images with SIFT features: 1.2 million
Imagenet数据集是目前深度学习图像领域应用得非常多的一个领域，关于图像分类、定位、检测等研究工作大多基于此数据集展开。Imagenet数据集文档详细，有专门的团队维护，使用非常方便，在计算机视觉领域研究论文中应用非常广，几乎成为了目前深度学习图像领域算法性能检验的“标准”数据集。

下载地址

http://www.image-net.org/about-stats

相关论文

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