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MS-UFAD: A Large-Scale Dataset for Real-world Unified Face Attack Detection with Text Descriptions
our MS-UFAD dataset includes 5000 subjects from 3 ethnic groups (e.g., Asian, African, and European), covering ages from 16 to 80 years old, with a gender ratio close to 1:1. The collection settings include 5 types of lighting conditions (normal, strong, dim, side light, and back light), and scenes include both indoor and outdoor environments. The capturing devices cover 30 different models of smartphones.
游戏工具
帮助手残党提高注意力的方法,链接是假的,项目还没整理成开源的材料,不过很快
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无网传输技术
一种特殊情况的数据传输协议,链接是假的,项目还没整理成开源的材料,不过很快
Waiting for api.github.com...