Partial-iLIDS 行人重识别数据集

iLIDS 全称 International Logistic Identification，是一个关于被遮挡行人重识别的图像数据集。该数据集包含了 119 个行人的 476 张图像，其中部分图像中的行人被其他人或行李遮挡。这些图像由 4 台非重叠相机拍摄。测试集包含 238 张图像，验证集包含 238 张图像。

iLIDS, whose full name is International Logistic Identification, is an image dataset dedicated to occluded person re-identification. It contains 476 images of 119 pedestrians, where some pedestrians in the images are occluded by other people or luggage. These images were captured by four non-overlapping cameras. The test set consists of 238 images, and the validation set also includes 238 images.

搜集汇总

背景与挑战

背景概述

Partial-iLIDS是一个用于被遮挡行人重识别的图像数据集，包含119个行人的476张图像，其中部分图像存在遮挡。该数据集分为测试集和验证集各238张图像，可用于训练模型以解决被遮挡行人重识别问题。