Machine Learning Datasets Machine Learning Datasets
  • GitHub
  • Slack
  • Documentation
Get Started
Machine Learning Datasets Machine Learning Datasets
Get Started
Machine Learning Datasets
  • GitHub
  • Slack
  • Documentation

Docy

Machine Learning Datasets

  • Folder icon closed Folder open iconDatasets
    • MNIST
    • ImageNet Dataset
    • COCO Dataset
    • CIFAR 10 Dataset
    • CIFAR 100 Dataset
    • FFHQ Dataset
    • Places205 Dataset
    • GTZAN Genre Dataset
    • GTZAN Music Speech Dataset
    • The Street View House Numbers (SVHN) Dataset
    • Caltech 101 Dataset
    • LibriSpeech Dataset
    • dSprites Dataset
    • PUCPR Dataset
    • RAVDESS Dataset
    • GTSRB Dataset
    • CSSD Dataset
    • ATIS Dataset
    • Free Spoken Digit Dataset (FSDD)
    • not-MNIST Dataset
    • ECSSD Dataset
    • COCO-Text Dataset
    • CoQA Dataset
    • FGNET Dataset
    • ESC-50 Dataset
    • GlaS Dataset
    • UTZappos50k Dataset
    • Pascal VOC 2012 Dataset
    • Pascal VOC 2007 Dataset
    • Omniglot Dataset
    • HMDB51 Dataset
    • Chest X-Ray Image Dataset
    • NIH Chest X-ray Dataset
    • Fashionpedia Dataset
    • DRIVE Dataset
    • Kaggle Cats & Dogs Dataset
    • Lincolnbeet Dataset
    • Sentiment-140 Dataset
    • MURA Dataset
    • LIAR Dataset
    • Stanford Cars Dataset
    • SWAG Dataset
    • HASYv2 Dataset
    • WFLW Dataset
    • Visdrone Dataset
    • 11k Hands Dataset
    • QuAC Dataset
    • LFW Deep Funneled Dataset
    • LFW Funneled Dataset
    • Office-Home Dataset
    • LFW Dataset
    • PlantVillage Dataset
    • Optical Handwritten Digits Dataset
    • UCI Seeds Dataset
    • STN-PLAD Dataset
    • FER2013 Dataset
    • Adience Dataset
    • PPM-100 Dataset
    • CelebA Dataset
    • Fashion MNIST Dataset
    • Google Objectron Dataset
    • CARPK Dataset
    • CACD Dataset
    • Flickr30k Dataset
    • Kuzushiji-Kanji (KKanji) dataset
    • KMNIST
    • EMNIST Dataset
    • USPS Dataset
    • MARS Dataset
    • HICO Classification Dataset
    • NSynth Dataset
    • RESIDE dataset
    • Electricity Dataset
    • DRD Dataset
    • Caltech 256 Dataset
    • AFW Dataset
    • PACS Dataset
    • TIMIT Dataset
    • KTH Actions Dataset
    • WIDER Face Dataset
    • WISDOM Dataset
    • DAISEE Dataset
    • WIDER Dataset
    • LSP Dataset
    • UCF Sports Action Dataset
    • Wiki Art Dataset
    • FIGRIM Dataset
    • ANIMAL (ANIMAL10N) Dataset
    • OPA Dataset
    • DomainNet Dataset
    • HAM10000 Dataset
    • Tiny ImageNet Dataset
    • Speech Commands Dataset
    • 300w Dataset
    • Food 101 Dataset
    • VCTK Dataset
    • LOL Dataset
    • AQUA Dataset
    • LFPW Dataset
    • ARID Video Action dataset
    • NABirds Dataset
    • SQuAD Dataset
    • ICDAR 2013 Dataset
    • Animal Pose Dataset
  • Folder icon closed Folder open iconDeep Lake Docs Home
  • Folder icon closed Folder open iconDataset Visualization
  • API Basics
  • Storage & Credentials
  • Getting Started
  • Tutorials (w Colab)
  • Playbooks
  • Data Layout
  • Folder icon closed Folder open iconShuffling in ds.pytorch()
  • Folder icon closed Folder open iconStorage Synchronization
  • Folder icon closed Folder open iconTensor Relationships
  • Folder icon closed Folder open iconQuickstart
  • Folder icon closed Folder open iconHow to Contribute

not-MNIST Dataset

Estimated reading: 3 minutes

Visualization of the not-MNIST Dataset in the Deep Lake UI

not-MNIST Dataset

What is not-MNIST Dataset?

The not-MNIST dataset comprises of some freely accessible fonts and symbols extracted to create a dataset similar to MNIST. The dataset is divided into two parts: a relatively small hand-cleaned portion of approximately 19k samples and a larger uncleaned portion of 500k samples. There are ten classes, with letters A-J drawn from various fonts.

Download not-MNIST Dataset in Python

Instead of downloading the not-MNIST dataset in Python, you can effortlessly load it in Python via our Deep Lake open source with just one line of code.

Load not-MNIST-small Dataset in Python

				
					import deeplake
ds = deeplake.load('hub://activeloop/not-mnist-small')
				
			

Load not-MNIST-large Dataset in Python

				
					import deeplake
ds = deeplake.load('hub://activeloop/not-mnist-large')
				
			

not-MNIST Dataset Structure

not-MNIST Data Fields
  • image: tensor containing the 28×28 image.
  • label: tensor containing labels that represent letters from A to J.

How to use not-MNIST Dataset with PyTorch and TensorFlow in Python

Train a model on not-MNIST dataset with PyTorch in Python

Let’s use Deep Lake built-in PyTorch one-line dataloader to connect the data to the compute:

				
					dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)
				
			
Train a model on the not-MNIST dataset with TensorFlow in Python
				
					dataloader = ds.tensorflow()
				
			

Additional Information about not-MNIST Dataset

not-MNIST Dataset Description

  • Homepage: https://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html
not-MNIST Dataset Curators
Yaroslav Bulatov
not-MNIST Dataset Licensing Information
Deep Lake users may have access to a variety of publicly available datasets. We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have a license to use the datasets. It is your responsibility to determine whether you have permission to use the datasets under their license. If you’re a dataset owner and do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thank you for your contribution to the ML community!
not-MNIST Dataset Citation Information
				
					@article{bulatov2011notmnist,
title={Notmnist dataset},
author={Bulatov, Yaroslav},
journal={Google (Books/OCR), Tech. Rep.[Online]. Available: http://yaroslavvb. blogspot. it/2011/09/notmnist-dataset. html},
volume={2},
year={2011}
}
				
			

not-MNIST Dataset FAQs

What is the not-MNIST dataset for Python?

The not-MNIST dataset is divided into two parts: a relatively small hand-cleaned portion of approximately 19k samples and a larger uncleaned portion of 500k samples.

How to download the not-MNIST dataset in Python?
You can load the not-MNIST dataset fast with one line of code using the open-source package Activeloop Deep Lake in Python. See detailed instructions on how to load the not-MNIST dataset training subset and testing subset in Python.
 
How can I use the not-MNIST dataset in PyTorch or TensorFlow?

You can stream the not-MNIST dataset while training a model in PyTorch or TensorFlow with one line of code using the open-source package Activeloop Deep Lake in Python. See detailed instructions on how to train a model on the not-MNIST dataset with PyTorch in Python or train a model on the not-MNIST dataset with TensorFlow in Python.

Datasets - Previous Free Spoken Digit Dataset (FSDD) Next - Datasets ECSSD Dataset
Leaf Illustration

© 2022 All Rights Reserved by Snark AI, inc dba Activeloop