Top 10 Galileo Alternatives & Competitors

Top 10 Alternatives to Galileo Recently Reviewed By G2 Community

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SuperAnnotate
By SuperAnnotate
4.9/5
(280)
Product Description
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
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Reviewers say compared to Galileo, SuperAnnotate is:
Better at support
Better at meeting requirements
More usable
Categories in common with Galileo:
Active Learning Tools

Roboflow
By Roboflow
4.7/5
(146)
Product Description
Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned.
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Reviewers say compared to Galileo, Roboflow is:
Better at meeting requirements
More usable
Better at support
Categories in common with Galileo:
Active Learning Tools

Dataloop
By Dataloop
4.4/5
(89)
Product Description
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
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Reviewers say compared to Galileo, Dataloop is:
Better at support
Better at meeting requirements
More usable
Categories in common with Galileo:
Active Learning Tools

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Amazon Augmented AI
By Amazon Web Services (AWS)
4.5/5
(63)
Product Description
Amazon Augmented AI (Amazon A2I) is a fully managed service that simplifies the integration of human reviews into machine learning (ML) workflows, ensuring high accuracy in ML predictions. By providing pre-built workflows and customizable options, Amazon A2I enables developers to incorporate human judgment into their ML applications without the need to build and manage complex human review systems. Key Features and Functionality: - Pre-Built Workflows: Amazon A2I offers ready-to-use workflows for common ML use cases, such as content moderation with Amazon Rekognition and text extraction with Amazon Textract. - Customizable Workflows: Developers can create custom workflows tailored to their specific needs, integrating human reviews into any ML application, including those built with Amazon SageMaker. - Flexible Workforce Options: Users can choose from a variety of human reviewers, including their own private workforce, a workforce of over 500,000 independent contractors via Amazon Mechanical Turk, or pre-screened vendors experienced in human review tasks. - Confidence Thresholds and Sampling: Amazon A2I allows setting confidence thresholds to route low-confidence predictions for human review or implementing random sampling to audit predictions, ensuring a balance between accuracy and cost-effectiveness. Primary Value and Problem Solved: Amazon A2I addresses the challenge of ensuring high accuracy in ML predictions by seamlessly incorporating human judgment into automated workflows. This integration is particularly valuable in scenarios where ML models may struggle with low-confidence predictions or require human oversight for sensitive data. By reducing the complexity and cost associated with building human review systems, Amazon A2I enables organizations to deploy ML solutions more confidently and efficiently, ensuring that critical decisions are informed by both machine intelligence and human expertise.
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Reviewers say compared to Galileo, Amazon Augmented AI is:
Better at support
Better at meeting requirements
More usable
Categories in common with Galileo:
Active Learning Tools

Labelbox
By Labelbox
4.5/5
(48)
Product Description
A complete training data platform for AI.
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Reviewers say compared to Galileo, Labelbox is:
Better at support
Better at meeting requirements
More usable
Categories in common with Galileo:
Active Learning Tools

FiftyOne
By Voxel51
4.6/5
(34)
Product Description
Make visual AI a reality. Build production-ready visual AI faster and more easily with FiftyOne from Voxel51. By simplifying and automating how you explore, visualize and curate visual data, Voxel51 lets you test and refine your models alongside exactly the datasets they need to ensure robust, accurate results. Better data => better models => the fastest path to success with visual AI.
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Reviewers say compared to Galileo, FiftyOne is:
Better at meeting requirements
More usable
Better at support
Categories in common with Galileo:
Active Learning Tools

Deepchecks
By Deepchecks
4.4/5
(21)
Product Description
Iterate Quickly While Maintaining Control. Release high-quality LLM apps quickly without compromising on testing. Never be held back by the complex and subjective nature of LLM interactions.
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Reviewers say compared to Galileo, Deepchecks is:
Better at meeting requirements
Better at support
More usable
Categories in common with Galileo:
Active Learning Tools

Aquarium
By Aquarium
4.6/5
(14)
Product Description
The Platform For ML Data Curation - Aquarium's embedding technology surfaces the biggest problems in your model performance and finds the right data to solve them.
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Reviewers say compared to Galileo, Aquarium is:
Better at support
Better at meeting requirements
More usable
Categories in common with Galileo:
Active Learning Tools

Lightly
By Lightly
4.4/5
(14)
Product Description
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. Analyze the quality and diversity of your datasets. Better understand your data with Lightly's holistic views from the big picture down to the smallest nuances of your data. Uncover class distributions, dataset gaps, and representation biases before labeling to save time and money. Intelligently select the best samples for model training through advanced filtering and active-learning algorithms. Balance your class distributions, remove redundancies and dataset bias. Label only the best data for model training until you reach your target accuracy. Manage your dataset. Apply automated labeling. Track different versions, and once your dataset is ready, simply share with labeling with the click of a button.
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Reviewers say compared to Galileo, Lightly is:
More usable
Better at support
Better at meeting requirements
Categories in common with Galileo:
Active Learning Tools