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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-started-with-cvat/

Corresponding training blog post:
https://blog.roboflow.com/training-yolov4-on-a-custom-dataset/

Colab Notebook:
https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-yolov4-tiny-object-detection-on-custom-data.ipynb

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