Dataloop AI Alternatives
Dataloop AI is described as 'DataLoop’s mission is to supply organizations with the solution to rapidly develop and deploy AI products with high accuracy at a minimal cost. We at Dataloop know that data is the key pillar of the process and that many companies manage and prepare their data inefficiently' and is an website. There are more than 10 alternatives to Dataloop AI, not only websites but also apps for a variety of platforms, including SaaS, Mac, Windows and Linux. The best alternative is HyperLabel. It's not free, so if you're looking for a free alternative, you could try Computer Vision Annotation Tool (CVAT) or Supervisely. Other great sites and apps similar to Dataloop AI are Label Box, Labeling AI, ByteBridge and Lightly.
A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
- 13 alternatives to Computer Vision Annotation Tool (CVAT)
- Free • Open Source
- Linux
CVAT is completely re-designed and re-implemented version of Video Annotation Tool from Irvine, California tool. It is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different...
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Supervisely helps people with and without machine learning expertise to create state-of-the-art computer vision applications. We care about entire workflow from raw data to building and deploying neural networks for your special task without coding.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data. Labeling AI is an innovative tool that can save your time.
Data labeling outsourced service: get your ML training datasets cheaper and faster!.
Lightly helps machine learning teams to build better models through better data. It helps to curate unlabelled data to improve its quality for model training.
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The platform for computer vision engineers and labeling teams to iterate between data labeling, model training and failure case discovery.
Flexible Deep Learning Workflows on GPUs.
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A single application for all your vision AI needs Everything you need to go from raw images or videos to production-ready model in one tool. No MLops skills or tricky integrations needed.
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