E1i0/CASTLE2024

CASTLE数据集是一个大规模、多模态的数据集，旨在推进生命日志记录、人类活动识别和多模态检索的研究。它提供了一个丰富的时间对齐传感器和视频数据集合，用于分析和基准测试。数据集在受控环境中捕获了四天，涉及10名参与者进行自然活动，包括15个视频流（10个以自我为中心，5个静态视角），超过600小时的UHD 50fps视频（带音频），并包含6DoF IMU、GPS和生物特征数据，总大小为8.22TB。The CASTLE dataset is a large-scale, multimodal dataset designed for advancing research in lifelogging, human activity recognition, and multimodal retrieval. It provides a rich collection of time-aligned sensor and video data for analysis and benchmarking. The dataset was captured over four days in a controlled environment with 10 participants engaged in natural activities, featuring 15 video streams (10 egocentric, 5 static perspectives), over 600 hours of UHD 50fps video with audio, and includes 6DoF IMU, GPS, and biometric data, with a total size of 8.22TB.