MNIST Dataset (MNIST_dataset)

Overview

This DeepTrackAI repository provides a copy of the MNIST dataset, a benchmark collection of handwritten digits originally created by Yann LeCun, Corinna Cortes, and Christopher J.C. Burges, available from the Official MNIST Website.

MNIST is one of the most widely used datasets for training and evaluating machine learning and deep learning models in computer vision.

Each image is a grayscale depiction of a digit from 0 to 9, with an associated label. All images are 28×28 pixels in size. The dataset is split into a training set of 60,000 images and a test set of 10,000 images.

Summary

• Number of images: 70,000 (60,000 training, 10,000 test)
• Image size: 28×28 pixels
• Color: Grayscale
• Labels: 10 classes (digits 0–9)
• Format: PNG, 8-bit per channel

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Original Source

• Title: The MNIST Database of Handwritten Digits
• Authors: Yann LeCun, Corinna Cortes, Christopher J.C. Burges
• Source: Official MNIST Website
• License: Creative Commons Attribution-Share Alike 3.0

If you use this dataset in your research, you must follow the licensing requirements and properly attribute the original authors.

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Dataset Structure

/MNIST_dataset  
  ├── train/          # Training images
  │   ├── 0_xxxxxx.png
  │   ├── 1_xxxxxx.png
  │   └── ...
  └── test/           # Test images
      ├── 0_xxxxxx.png
      ├── 1_xxxxxx.png
      └── ...

In each folder, the digit before the underscore in the filename corresponds to the image label.

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How to Access the Data

Clone the Repository

git clone -b mnist github.com/DeepTrackAI/MNIST_dataset
cd MNIST_dataset

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Attribution

This replication dataset is based on the original MNIST dataset. When using this replication, please cite both the dataset and the original paper.

Cite the dataset:

LeCun Y, Cortes C, Burges CJC. The MNIST Database of Handwritten Digits. Retrieved from http://yann.lecun.com/exdb/mnist/

@misc{lecun1998mnist,
  title        = {The MNIST Database of Handwritten Digits},
  author       = {LeCun, Yann and Cortes, Corinna and Burges, Christopher J.C.},
  year         = {1998},
  howpublished = {\url{http://yann.lecun.com/exdb/mnist/}}
}

Cite the original paper:

LeCun Y, Bottou L, Bengio Y, Haffner P. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11): 2278–2324 (1998). https://doi.org/10.1109/5.726791

@article{lecun1998gradient,
  title     = {Gradient-based learning applied to document recognition},
  author    = {LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick},
  journal   = {Proceedings of the IEEE},
  volume    = {86},
  number    = {11},
  pages     = {2278--2324},
  year      = {1998},
  publisher = {IEEE}
}

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License

This replication dataset is shared under the Creative Commons Attribution-Share Alike 3.0 License, following the original licensing terms.