The Fastest Way To Build
Computer Vision Applications

From labelling, generating augmentations, neural network model training to enterprise-grade deployment
With love, without code šŸ„³

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Datature - No-code platform for building deep neural nets | Product Hunt
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No-Code MLOps meets Managed Infrastructure.

Simply select what you want to train, upload your data, and our system will build a model for you -- no expertise required. Keep multiple machine learning projects running smoothly, and upgrade your models without a hitch.
Use Visual Workflows
Construct neural network training pipelines visually - run multiple experiments in minutes
Fully Managed Annotations Online
Label image data collaboratively, even across multiple labelling teams - within the browser
Training on the Cloud
Automated and GPU-accelerated neural network training. Monitor the team's experiments progress with inbuilt TensorBoard.
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Annotation Decorative 1Decorative Annotation 2

Use AI to Label Data 10x Faster with IntelliBrush.

  • Label images collaboratively as a team in real-time
  • Draw bounding boxes, polygons, and masks
  • Use IntelliBrush - Our latest AutoLabeller
  • Pixel-perfect annotations and controls
Try the annotator
Datature's annotator tools helped Rolls-Royce to train critical computer vision models in weeks!

Monitor and train vision models without code.

  • Neural network training pipelines using drag-n-drop
  • Choose from a 28+ model architectures
  • Scale training and perform transfer learning on up to 16x GPUs concurrently
  • Run and monitor multiple experiments in real-time
The visual builder allows any researcher and developer to build models easily. Things that used to take weeks or even months can be accurately constructed in just a few clicks! šŸŽ‰
Flow Editor Nodes

Get Started with Computer Vision

Whether youā€™re a data scientist or not, our visual programming language makes implementing ambitious use cases easy with no coding required.
Find out how

"Datature helped our research team expeditiously bring research to production where we can run real-world trials and make iterations whenever required. We were able to swiftly build our own image analysis pipeline thanks to their platform and dedicated technical support."

Dr. Foong Shaohui
EPD Associate Professor, Singapore University of Technolgy and Design
BUILDĀ YOUR MACHINEĀ LEARNINGĀ PIPELINEĀ TODAY

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