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| Note |
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Important: if you have annotated your images mostly within ROI(s), then you should consider the option of training your algorithm on ROI(s) instead of the whole image. If an image does not contain any ROI(s) but you still select this function, the whole image will be used instead. |
6. Option a: Random dataset split and selecting your images
When using a random dataset split, 80% of your selected images will be automatically assigned to the training set, while 20% of the images will be assigned to the validation set, on which the performance of your trained algorithm will be evaluated.
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6. Option b: Manual dataset split and selecting your images
When using a manual data split, at first you will need to select at least 1 training image that contains annotations and then at least 1 validation image that also contains annotations.
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