Small Re-identification Dataset with Classes

该数据集包含了一系列在不同背景下旋转或变形的各种物体的视频序列。每个视频仅展示物体的部分视图，这有助于提取物体的属（Genus）和种差（Differentia）。此外，该数据集包含了五种不同类型的物体视频：咖啡胶囊、多功能插头、铅笔盒、智能手机和钱包，且每个类型的物体都有具体实例展示其不同视角。规模上，共有五种类型的物体，每种类型记录了两个实例。该数据集的任务是基于视觉感知进行物体识别。

This dataset comprises a series of video sequences featuring various objects rotating or deforming against diverse backgrounds. Each video only presents partial views of the target object, which facilitates the extraction of the object’s genus and differentia. Furthermore, the dataset includes video sequences of five distinct object categories: coffee capsules, multi-functional plugs, pencil cases, smartphones, and wallets. For each category, specific instances are provided to showcase their various viewing angles. In terms of scale, there are five object categories in total, with two instances recorded for each category. The task associated with this dataset is object recognition based on visual perception.