Caltech 10k Web Faces 面部图像数据集

Caltech 10k Web Faces Dataset 是由 Google 搜索所得图片组成的数据集，每张图中正面的眼睛、鼻子和嘴巴的中心坐标均在相关文件中提供，相关信息可被用于对齐和裁剪人脸、面部识别算法的基准，该数据集拥有不同分辨率的图片共计 10,524 张，并被用于不同的领域。

The Caltech 10k Web Faces Dataset is a dataset composed of images sourced from Google Search. The central coordinates of the eyes, nose, and mouth of the frontal face in each image are provided in the associated files. This information can be utilized for face alignment and cropping, as well as serving as a benchmark for face recognition algorithms. The dataset contains a total of 10,524 images with varying resolutions and has been applied across various research domains.

搜集汇总

背景与挑战

背景概述

该数据集由加州理工学院于2005年发布，包含10,524张来自Google搜索的面部图像，每张图片均标注了眼睛、鼻子和嘴巴的中心坐标。这些信息可用于人脸对齐、裁剪以及作为面部识别算法的基准测试资源。