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.
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box= box loss (an error calculation) -
cls= classification loss (an error calculation) - Precision and Recall in Machine Learning
- Mean Average Precision (mAP) in Object Detection
- An “epoch” is like one complete “round” of training through the model architecture’s network for your dataset.
Additionally, we have a computer vision glossary, an Intro to Computer Vision blog post and a Guide for Model Production