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Random dataset split: selecting your images for training and validation all at once.
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Please note: The images are split for training and validation by a seeded random generator. This means that if you choose the same set of images twice for the random dataset split, the allocation to training and validation images will stay exactly the same. |
Manual dataset split: selecting your images for training and validation separately.
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