How to Train YOLOv4 on a Custom Dataset in Darknet
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A video of how to train YOLO v4 to recognize custom objects in Google Colab in the Darknet framework. In this video we will take the following steps to train our custom detector:
1) Gather and process our dataset
2) Load dataset into Google Colab
3) Build Darknet framework in Google Colab
4) Write custom YOLO v4 training configuration
5) Train custom YOLO v4 detector
6) Use trained YOLO v4 detector for inference
7) Export YOLO v4 weights
Label your images:
https://blog.roboflow.com/getting-sta...
Corresponding training blog post:
https://blog.roboflow.com/training-yo...
Colab Notebook:
https://colab.research.google.com/git...
What is MaP?
• What is Mean Average Precision (mAP)?
Watch video How to Train YOLOv4 on a Custom Dataset in Darknet online without registration, duration hours minute second in high quality. This video was added by user Roboflow 23 September 2020, don't forget to share it with your friends and acquaintances, it has been viewed on our site 51,755 once and liked it 469 people.