How do I create training datasets for machine learning?
Creating training datasets involves collecting data, cleaning it, and labeling it appropriately. What type of data are you working with?
I'm working with images for a computer vision project.
Great! You can start by gathering a diverse set of images that represent the classes you want to train your model on. Do you have a specific number of images in mind?
I was thinking about at least 1000 images per class.
That's a solid number! Make sure to include variations in lighting, angles, and backgrounds to improve your model's robustness. Do you need help with data labeling?
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