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MNIST
- huggingface.co
Updated Aug 24, 2024
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EmailClick to copy linkLink copiedCiteP2PFL (2024). MNIST [Dataset]. https://huggingface.co/datasets/p2pfl/MNISTCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedAug 24, 2024AuthorsP2PFLLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescription🖼️ MNIST (Extracted from PyTorch Vision)
MNIST is a classic dataset of handwritten digits, widely used for image classification tasks in machine learning.
ℹ️ Dataset Details 📖 Dataset DescriptionThe MNIST database of handwritten digits is a commonly used benchmark dataset in machine learning. It consists of 70,000 grayscale images of handwritten digits (0-9), each with a size of 28x28 pixels. The dataset is split into 60,000 training images and 10,000… See the full description on the dataset page: https://huggingface.co/datasets/p2pfl/MNIST.
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FacebookTwitterEmailMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
🖼️ MNIST (Extracted from PyTorch Vision)
MNIST is a classic dataset of handwritten digits, widely used for image classification tasks in machine learning.
ℹ️ Dataset Details
📖 Dataset Description
The MNIST database of handwritten digits is a commonly used benchmark dataset in machine learning. It consists of 70,000 grayscale images of handwritten digits (0-9), each with a size of 28x28 pixels. The dataset is split into 60,000 training images and 10,000… See the full description on the dataset page: https://huggingface.co/datasets/p2pfl/MNIST.