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SYSU-MM01

Visible-Infrared Re-identification

SYSU-MM01

The SYSU-MM01 is a dataset collected for the Visible-Infrared Re-identification problem. The images in the dataset were obtained from 491 different persons by recording them using 4 RGB and 2 infrared cameras. Within the dataset, the persons are divided into 3 fixed splits to create training, validation and test sets. In the training set, there are 20284 RGB and 9929 infrared images of 296 persons. The validation set contains 1974 RGB and 1980 infrared images of 99 persons. The testing set consists of the images of 96 persons where 3803 infrared images are used as query and 301 randomly selected RGB images are used as gallery.

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Task
Image Classification
Annotation Types
Classification Tags
45900
Items
6
Classes
45900
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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