MOD20数据集是由Defence Science and Technology Group创建的,专注于户外多视角人体动作识别。该数据集包含2324个视频片段,总计503086帧,覆盖20种动态人体动作类别。数据来源于YouTube和自主无人机拍摄,视频分辨率为720×720,确保原始比例不变。创建过程涉及从多个视角收集视频,并进行精细的标注工作。MOD20数据集适用于动作识别、监控和态势感知等
QMUL-SurvFace is a surveillance face recognition benchmark that contains 463,507 face images of 15,573 distinct identities captured in real-world uncooperative surveillance scenes over wide space and
--- license: cc-by-nc-nd-4.0 --- ## Description 10,034 People - Re-ID Data in Surveillance Scenes. The data includes supermarket (inside supermarket and at the gate of the supermarket) scenes. The dat
UPDATED MARCH 2026 WITH NOTE: These data are referenced in two papers: Crampton et al. (2020), 'Smart Festivals? Security and Freedom for Well-Being in Urban Smart Spaces,' https://doi.o