UA_DETRAC_Process

Description

Preprocess the UA-DETRAC dataset and create a dataset for YOLOv5.

Instructions

1. Download the UA-DETRAC dataset from here and unzip it.
2. Use rename_image.py to rename the images in the dataset.
3. Use xml2txt.py to convert the xml files in the dataset to txt files.
4. Use rename_txt.py to rename the txt files in the dataset.
5. (Optional)Use split_data.py to reorganize the dataset and divide it into training, validation, and testing sets according to a certain proportion. The method I adopted is to keep the original training set unchanged, and the original test set is divided into a new validation set and a test set in a 1:1 ratio.

Reference

1. 使用yolov5训练UA-DETRAC车辆数据集
2. yolov5_UA_DETRAC
3. YoloV5数据集自动划分训练集、验证集、测试集