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기계 학습 데이터 세트

  • Pixta AI provides large-scale data annotation and sourcing services for AI projects.
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    What is PIXTA AI - AI/ML Training data service?
    Pixta AI specializes in large-scale data annotation and sourcing for AI and machine learning projects. Leveraging over 80 million images, 1000 experienced annotators, and state-of-the-art technology, Pixta AI delivers high-quality, annotated datasets. These datasets are ideal for computer vision, autonomous vehicles, retail analytics, and more. By utilizing both manual and semi-automated labeling processes, Pixta AI ensures fast and accurate data preparation, enabling faster AI model training and deployment.
    PIXTA AI - AI/ML Training data service Core Features
    • Large-scale data annotation
    • Data sourcing service
    • Fully-managed annotation service
    • Off-the-shelf datasets
    PIXTA AI - AI/ML Training data service Pro & Cons

    The Cons

    No information on open-source availability
    Pricing details not clearly segmented on the site
    Limited integration details with other tools or platforms

    The Pros

    AI-enhanced search and customization for digital content
    High-quality, royalty-free images and videos
    Streamlines digital asset management
    Improves content discovery and user experience
    PIXTA AI - AI/ML Training data service Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://www.pixta.ai
  • High-quality biometric datasets for AI liveness detection and recognition.
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    What is Axon Labs?
    Axon Labs offers high-quality biometric and medical datasets specifically curated for AI model development, including facial recognition and liveness detection. These datasets assist in developing and improving AI technologies by providing large, diverse collections of data with multiple scenarios for robust training. With a commitment to data quality and compliance, Axon Labs ensures that all datasets are created following legal and ethical standards, complete with contributor consent.
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