Omniglot Dataset
Load the Omniglot dataset in Python with one line of code in seconds and plug it in TensorFlow and PyTorch.
Omniglot Dataset
What is Omniglot Dataset?
The Omniglot dataset is created with the goal of creating learning algorithms that are more human-like. It includes 1623 handwritten characters from 50 different alphabets. Each of the 1623 characters was created by 20 individuals using Amazon's Mechanical Turk service. Each image is accompanied by stroke data, which consists of a series of [x,y,t] coordinates separated by time (t) in milliseconds. The dataset is split into a background set of 30 alphabets and an evaluation set of 20 alphabets.
Download Omniglot Dataset in Python
Instead of downloading the Omniglot dataset in Python, you can effortlessly load it in Python via our open-source package Hub with just one line of code.
Load Omniglot Dataset Training Subset in Python
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import hub
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ds = hub.load('hub://activeloop/omniglot-images-strokes-train')
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Load Omniglot Dataset Validation Subset in Python
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import hub
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ds = hub.load('hub://activeloop/omniglot-images-strokes-val')
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Omniglot Dataset Structure
Omniglot Data Fields
- image: tensor that contains image of size 105x105.
- alphabet: tensor that contains different alphabets.
- character_in_alphabet: tensor that contains characters in the alphabets.
- penstroke: tensor that contains stroke data, a sequences of [x,y,t] coordinates with time (t) in milliseconds beginning with "START" and Breaks between pen strokes are denoted as "BREAK" (indicating a pen up action).
Omniglot Data Splits
How to use Omniglot Dataset with PyTorch and TensorFlow in Python
Train a model on Omniglot dataset with PyTorch in Python
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dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)
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Train a model on Omniglot dataset with TensorFlow in Python
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dataloader = ds.tensorflow()
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Additional Information about Omniglot Dataset
Omniglot Dataset Description
Omniglot Dataset Curators
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
Omniglot Dataset Licensing Information
Omniglot Dataset Citation Information
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@article{lake2015human,
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title={Human-level concept learning through probabilistic program induction},
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author={Lake, Brenden M and Salakhutdinov, Ruslan and Tenenbaum, Joshua B},
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journal={Science},
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volume={350},
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number={6266},
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pages={1332--1338},
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year={2015},
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publisher={American Association for the Advancement of Science}
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}
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Last modified 27d ago
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Contents
Omniglot Dataset
What is Omniglot Dataset?
Download Omniglot Dataset in Python
Load Omniglot Dataset Training Subset in Python
Load Omniglot Dataset Validation Subset in Python
Omniglot Dataset Structure
How to use Omniglot Dataset with PyTorch and TensorFlow in Python
Additional Information about Omniglot Dataset
Omniglot Dataset Description