key words: YOLOv5; handbook; colab; computer vision
该项目为时空大数据分析与处理课程实习 第三节 机器视觉的个人项目
提供一种新的、使用Google Colab在自定义数据集训练Yolov5模型并进行推理、测试的方法 以下为项目文件，报含数据集制作脚本和已处理完善数据集，请将其放置于你的Google drive中： Google drive：https://drive.google.com/drive/folders/1MsDYTbJbbrMvp3hHo-JhKHpxZgMH5UtM?usp=sharing 百度网盘：链接：https://pan.baidu.com/s/18EeHdBciKigwXNffZCrTsQ?pwd=6666
This project is the personal project for the third session on Machine Vision, under the course on Spatio-temporal Big Data Analysis and Processing.
It provides a new method for training the Yolov5 model and performing inference and testing on a custom dataset using Google Colab. Below are the project files, which include scripts for dataset creation and the fully processed dataset. Please place these in your Google Drive:
Google Drive: https://drive.google.com/drive/folders/1MsDYTbJbbrMvp3hHo-JhKHpxZgMH5UtM?usp=sharing
Baidu Cloud: https://pan.baidu.com/s/1ZRz5ccsGD5Y7EZxdZoiK8g?pwd=6666