Yolov6 target detection practice: training your own data set (video tutorial)

Course link ：https://download.csdn.net/course/detail/37584

YOLOv6 It is a high-performance real-time target detection network recently launched by meituan visual intelligence department , It surpasses other algorithms with the same volume in accuracy and speed .

YOLOv6 Use  PyTorch Development , be based on RepVGG style  Design the re parameterization 、 More efficient backbone network EfficientRep Backbone and Rep-PAN Neck. Adopted Anchor-free Anchor free paradigm 、 Decoupling head 、SimOTA Label allocation strategy and SIoU Frontier technologies such as bounding box regression loss . 

This course will teach you how to use labelImg Labeling and use YOLOv6 Train your own dataset , Complete a multi-target detection project , It can detect two target categories of football and Messi in images and videos .  

This course is in Windows and Ubuntu Project demonstration on the system . Include ： install YOLOv6、 Label your own dataset 、 Prepare your own dataset （ Automatically divide training set and verification set ）、 Modify the configuration file 、 Train your own dataset 、 Test the trained network model and performance statistics .