Datasets

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250+ Free Machine Learning Datasets for Instant Download

How to download a machine learning dataset for PyTorch and TensorFlow in Python

Without any need to download, a variety of popular machine learning datasets can be accessed and streamed with Deep Lake with one line of code. This enables you to explore the datasets and train models without needing to download machine learning datasets regardless of their size. Access classical datasets like CIFAR-10, MNIST or Fashion-MNIST, as well as large datasets like Google Objectron, ImageNet, COCO, and many others in Python.

How to visualize machine learning datasets?

You can visualize your machine learning datasets in the Activeloop Deep Lake UI. An example of the COCO Visualization is shown below:

Visualization of the COCO Training dataset on the Activeloop Platform

What are the public machine learning datasets available in Deep Lake?

To programmatically view the full list of available datasets, simply run:

				
					import deeplake
print(sorted(deeplake.list('activeloop')))

How to load a specific machine learning dataset in Deep Lake?

You can load a specific dataset in a Python workflow using:

				
					import deeplake
ds = deeplake.load('hub://activeloop/dataset_name')