Question 1 of 30
A retail company is looking to implement Einstein Vision to enhance its product categorization process. They have a dataset of 10,000 images of products, each labeled with their respective categories. The company wants to train a model that can accurately classify these images into 5 distinct categories. If the company decides to allocate 80% of the dataset for training and 20% for validation, how many images will be used for training and how many for validation?
8,000 training images and 2,000 validation images
7,500 training images and 2,500 validation images
6,000 training images and 4,000 validation images
9,000 training images and 1,000 validation images

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