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The MNIST dataset consists of small, 28 x 28 pixels, images of handwritten numbers that is annotated with a label indicating the correct number. Starting with this dataset is good for anybody who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. The dataset consists of training set of 60,000 examples, and a test set of 10,000 examples. Read more about the MNIST dataset here: The MNIST database.
RGB, 28 x 28 pixels 3-channel images (28x28x3). Used in the tutorial Deploy an operational AI model: Zipped RGB MNIST bundle