I Turned 149k Messy Images into an Offline Recognition System

Automated excerpt

Finally I rewrite every label file, because the first number on each line of a YOLO label file is the class ID and I needed every class to have the same ID in every dataset. I split the data 85 to 15, which gave 20,660 training images and 3,646 validation images, and I kept a test set aside for later, for when I want to check the model on data it has truly never touched. One epoch is one full pass through the training set, so 100 epochs means the model gets to see every training image 100 times. batch=16.

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