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Stream your data to PyTorch and TensorFlow.No boilerplate code.
The fastest computer vision dataset management framework for data streaming, version-control and collaboration.
Creating the future of data, together
- in Python on Github
- #1
- GitHub Stars
- 3.1K+
- Community Members
- 500+
- Active Contributors
- 60+
Databases, data lakes, and data warehouses are unfit for unstructured data types such as images, videos, and text. Data 2.0 allows storing computer vision data, including metadata, in multi-dimensional arrays, locally or on the cloud.
In an open, unified, and seamless way.
Write less lines of code, do more ML
There is a daunting way to do ML. And then there’s the Data 2.0 way.
import hub
ds = hub.Dataset(url='activeloop/mnist')Visualize any computer vision dataset
Open data, one click away
- Access and share popular or community-assembled public datasets.
Fork what you like
- Found the dataset you were looking for? Fork it and start training right away!
Manage access
- Create private or public repositories, organizations and monitor access.
Introducing Data 2.0 - built for collaboration, at scale
Our open-source package Hub neatly rearranges your computer vision datasets into our Data 2.0 format, represented as NumPy-like, cloud-native arrays. A Data 2.0 dataset comes with a multitude of features for more efficient machine and deep learning workflows.
Deployment anywhere
Activeloop Hub works where you work. Locally, on Google Cloud, MinIO, AWS S3, Azure as well as our storage.
Dataset Version Control
Unlike file-based approaches, Hub uses a Python API. Modify dataset elements across different versions and easily switch between them.
Dataset Filtering
Quickly modify the samples of the dataset or create a new dataset from the existing one.
Training
Stream data to PyTorch or TensorFlow, as if the data was local.
Distributed Workloads
Train in a distributed fashion with Ray for maximum utilization of your GPUs.
Team and Access Management
Keep your datasets private, share them with your team or anyone on the web. View or edit the data simultaneously with your colleagues.
Instant Visualization
Instantly visualize any slice of the dataset you upload to Hub in our web UI. For free.
Transformations
Quickly modify the samples of the dataset or create a new dataset from the existing one.
Software 2.0 needs Data 2.0. Activeloop Hub enables it.The future of data is one line of code away.
> pip install hub
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