hi sorry for asking too much but i am really in very need to understand almost everything
i need to know these measures ? what do they mean ?
finally how can I understand the Yolov5 architecture and how its layers work
thank you
hi sorry for asking too much but i am really in very need to understand almost everything
i need to know these measures ? what do they mean ?
finally how can I understand the Yolov5 architecture and how its layers work
thank you
You can read more on YOLOv5 from our model library: YOLOv5 PyTorch Object Detection Model
Additionally, more information is available from the YOLOv5 GitHub repository’s ReadMe (docs) and Documentation.
box
= box loss (an error calculation)cls
= classification loss (an error calculation)Additionally, we have a computer vision glossary, an Intro to Computer Vision blog post and a Guide for Model Production