Repartition of part of visdrone2019 dataset

The VisDrone2019 dataset is collected by the AISKYEYE team at the Lab of Machine Learning and Data Mining, Tianjin University, China. The dataset contains a large number of objects in urban and rural road scenes (10 categories such as pedestrians, vehicles, bicycles, etc.), covering a wide variety of scenes and containing a large number of small objects.A link to the original data set: https://github.com/VisDrone/VisDrone-Dataset We selected the training set of the object detection part as our data set, and randomly divided it into new training set, verification set and test set in a ratio close to 7:2:1. Available at https://github.com/VisDrone/VisDrone-Datase