Software Alternatives & Reviews

Data Labeling

The best Data Labeling Products based on votes, our collection of reviews, verified products and a total of 215 factors

Top Data Labeling Products

  1. 125

    Build computer vision products for the real world

    Open Source freemium

    /labelbox-alternatives
  2. 64

    Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.

    /playment-alternatives
  3. 55

    Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

    Open Source

    /v7-alternatives
  4. 74

    Human-powered Data Processing for AI and Automation

    /cloudfactory-alternatives
  5. 73

    Multi-sensor labeling platform for robotics and autonomous driving

    freemium €800.0 / Monthly (Includes 3,600 hours/yr of labeling usage)

    /segments-ai-alternatives
  6. 65

    Supervisely helps people with and without machine learning expertise to create state-of-the-art...

    /supervisely-alternatives
  7. 55

    Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

    Open Source

    /universal-data-tool-alternatives
  8. 40

    Enterprise crowdsourcing for micro-tasks

    /crowdflower-alternatives
  9. 40

    Empowering Enterprises with Custom LLM/GenAI/CV Models.

    freemium

    /superannotate-alternatives
  10. 32

    Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

    /computer-vision-annotation-tool-cvat-alternatives
  11. 41

    The online market place for work.

    /amazon-mechanical-turk-alternatives
  12. 33

    Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

    /aws-sagemaker-ground-truth-alternatives
  13. 45

    Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data.

    paid

    /labeling-ai-alternatives

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Author: | Publisher: SaaSHub
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