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Data is the most important aspect of Data Science and Computer Vision is no exception. The quality of the data is extremely important too, and these tips should help you collect a better dataset. The amount of data needed to train a model really depends on the type of your objects. If your images are not specific like MRI or X-rays data, you should be ok with pre-trained models. You might need something like 1000 images per class to tune the model for your task. Augmentation helps to make your dataset more diverse and your model to better generalize.