遇见数据集
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该数据集包含了4,209张图片,展示了人类与12种不同乐器的互动场景。这些互动行为被细分为演奏乐器与持握乐器两类,从而生成了24个精细的动作类别。该数据集的规模为4,209张图片,其任务是进行人体动作识别。

This dataset consists of 4,209 images that showcase interactive scenarios between humans and 12 distinct musical instruments. These interaction behaviors are divided into two categories: playing musical instruments and holding musical instruments, resulting in 24 fine-grained action categories. With 4,209 images in total, the core task of this dataset is human action recognition.

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