Scut Head Dataset is a dataset for an object detection task. It is used in the surveillance industry.
The dataset consists of 4405 images with 111248 labeled objects belonging to 1 single class (person).
Images in the Scut Head dataset have bounding box annotations. There is 1 unlabeled image (i.e. without annotations). There are 3 splits in the dataset: train (2543 images), test (1000 images), and val (862 images). Additionally, every image marked with part a or part b tag. The dataset was released in 2018 by the South University of Technology, China.
