AWS SageMaker Ground Truth
Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
Some of the top features or benefits of AWS SageMaker Ground Truth are: Scalability, Integration, Automated Labeling, Cost-Effectiveness, and Quality Management. You can visit the info page to learn more.
Best AWS SageMaker Ground Truth Alternatives & Competitors in 2025
The best AWS SageMaker Ground Truth alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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/qubole-alternativesQubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Key Qubole features:
Scalability Multi-cloud Support Unified Interface Cost Management
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/labelbox-alternativesBuild computer vision products for the real world
Key Labelbox features:
User-Friendly Interface Collaboration Tools API Integration Comprehensive Annotations
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/computer-vision-annotation-tool-cvat-alternativesPowerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat
Key Computer Vision Annotation Tool (CVAT) features:
Open Source Rich Annotation Features User-Friendly Interface Collaboration and Multi-User Support
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/universal-data-tool-alternativesMachine learning, data labeling tool, computer vision, annotate-images, classification, dataset
Key Universal Data Tool features:
User-Friendly Interface Versatility Open Source Collaborative Features
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/supervisely-alternativesSupervisely helps people with and without machine learning expertise to create state-of-the-art...
Key Supervisely features:
Comprehensive Toolset Collaborative Platform High Customizability Extensive Dataset Support
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/scikit-learn-alternativesscikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Key Scikit-learn features:
Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms
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/google-cloud-automl-alternativesTrain custom ML models with minimum effort and expertise
Key Google CLOUD AUTOML features:
Ease of Use Integration Customization Speed
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/bigml-alternativesBigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Key BigML features:
User-Friendly Interface Wide Range of Algorithms Ease of Integration Visualization Tools
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/diffgram-alternativesData Annotation Platform
Key Diffgram features:
User-Friendly Interface Flexible Annotation Tools Collaboration Features Automation and Integration
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/machine-learning-in-python-alternativesDo you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
Key machine-learning in Python features:
Ease of Use Rich Ecosystem Community Support Integration Capabilities
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/microsoft-recommendations-api-alternativesObtains details of a cached recommendation.
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/segments-ai-alternativesMulti-sensor labeling platform for robotics and autonomous driving
Key Segments.ai features:
Image Segmentation Image Vector Labeling Point Cloud Segmentation Point Cloud Vector Labeling
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/opencv-alternativesOpenCV is the world's biggest computer vision library
Key OpenCV features:
Comprehensive Library Cross-Platform Compatibility Open Source Large Community Support
