Users report that Amazon Sagemaker Ground Truth excels in its Human-in-the-Loop feature, achieving a high labeler quality score of 9.1, which reviewers say enhances the accuracy of their datasets significantly.
Reviewers mention that Kili shines in Ease of Admin with a score of 9.3, making it easier for teams to manage their projects and workflows compared to Amazon Sagemaker Ground Truth, which scored 8.2 in this area.
G2 users highlight that Kili offers a more user-friendly Drag and Drop interface, with an ease of use score of 8.8, while Amazon Sagemaker Ground Truth scored slightly lower at 8.3, indicating a smoother experience for Kili users.
Users on G2 report that Amazon Sagemaker Ground Truth has a robust Machine Learning Pre-Labeling feature, scoring 8.9, which reviewers say helps speed up the labeling process, although Kili's automatic routing of labeling scored 8.7, showing it also has strong capabilities in this area.
Reviewers mention that Kili's Collaboration tools are superior, with a focus on team dynamics and project sharing, which scored higher than Amazon Sagemaker Ground Truth, making it a preferred choice for teams working on complex projects.
Users say that while both platforms support Model Training, Kili's integration with various machine learning frameworks is more flexible, allowing for easier adaptation to different project needs compared to Amazon Sagemaker Ground Truth.
Pricing
Entry-Level Pricing
Amazon Sagemaker Ground Truth
No pricing available
Kili
Free
Free Trial
5000 Annotations
For individual contributors, students and ML enthusiast developing small scale projects
Image, video, text, PDFs, large images & rich text labeling interfaces
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