LIP(Look into Person)

LIP (Look into Person) 数据集是一个大规模的数据集，专注于对人的语义理解。它包含50,000个图像，其中包含19个语义人类部分标签的精细像素注释和具有16个关键点的2D人类姿势。图像是从真实世界场景中收集的，对象的姿势和视图具有挑战性，严重的遮挡，各种外观和低分辨率。

The LIP (Look into Person) dataset is a large-scale dataset dedicated to semantic understanding of humans. It consists of 50,000 images, which are accompanied by fine-grained pixel-level annotations for 19 semantic human part labels and 2D human poses with 16 key points. The images are collected from real-world scenarios, where the subjects feature challenging poses and viewpoints, severe occlusions, diverse appearances, and low resolutions.

搜集汇总

背景与挑战

背景概述

LIP(Look into Person)是一个大规模数据集，包含50,000个真实世界图像，专注于人的语义理解，提供精细的像素级注释（19个语义人类部分标签）和2D姿势标注（16个关键点）。该数据集的特点在于图像具有挑战性，包括多样化的姿势、严重遮挡和低分辨率，适用于人体解析和姿势估计等计算机视觉任务。