Reviewers mention that Labelbox excels in its Labeler Quality with a score of 9.3, which users attribute to its intuitive interface and robust training resources, making it easier for teams to achieve high-quality annotations.
Users report that CVAT.ai shines in Image Segmentation, scoring 9.2, with many highlighting its advanced tools that allow for precise segmentation tasks, which are crucial for complex projects.
G2 users indicate that Labelbox's Human-in-the-Loop feature, rated at 8.9, provides a seamless integration of human feedback into the model training process, enhancing overall model performance.
Users on G2 mention that CVAT.ai's Object Detection capabilities, scoring 8.9, are particularly strong, with reviewers appreciating its flexibility in handling various object types and sizes effectively.
Reviewers say that Labelbox's Data Quality score of 9.3 reflects its comprehensive data management tools, which help teams maintain high standards throughout the annotation process.
Users report that CVAT.ai's Automatic Routing of Labeling feature, rated at 8.5, is a standout, allowing for efficient task distribution among team members, which enhances productivity in large projects.
Pricing
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CVAT.ai
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Labelbox
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Free Trial
CVAT.ai
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Labelbox
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Ratings
Meets Requirements
9.4
17
9.0
41
Ease of Use
8.9
18
9.0
41
Ease of Setup
9.0
15
9.0
21
Ease of Admin
Not enough data
9.0
5
Quality of Support
9.2
16
9.0
39
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