Users report that SuperAnnotate excels in Labeler Quality with a score of 9.8, while Kili's score of 9.1 indicates a noticeable gap in the quality of annotations, which is crucial for projects requiring high precision.
Reviewers mention that SuperAnnotate's Ease of Setup is rated at 9.6, making it significantly easier for new users to get started compared to Kili's score of 8.3, which can lead to a steeper learning curve for teams.
G2 users highlight SuperAnnotate's superior Quality of Support with a score of 9.9, suggesting that users feel more supported and valued, whereas Kili's score of 9.5, while still good, indicates room for improvement in customer service.
Users on G2 appreciate SuperAnnotate's Scalability with a perfect score of 10.0, which is essential for growing businesses, while Kili's scalability features are rated lower, potentially limiting its effectiveness for larger projects.
Reviewers say that SuperAnnotate's Human-in-the-Loop feature scores 9.7, indicating a strong capability for integrating human feedback into the annotation process, whereas Kili's score of 9.1 suggests it may not be as robust in this area.
Users report that SuperAnnotate offers a more flexible Integration experience with a perfect score of 10.0, allowing for seamless connections with other tools, while Kili's integration capabilities, although good, do not match this level of flexibility.
Pricing
Entry-Level Pricing
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
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
ST
I have been invited to skill test for a few projects with superannotate over the past year or so, each resulting in the platform being buggy and not allowing...Read more
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