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A very powerful annotation platform with great analytics and an intuitive interface.
What do you like best about the product?
Superb AI streamlines annotation workflow and gives insightful analytics, you can manage your team on the platform with ease and the simplicity of navigation makes training AI models a rewarding experience.
What do you dislike about the product?
Nothing much to say, I prefere Superb AI over any other platform and I have not faced any problems at all.
What problems is the product solving and how is that benefiting you?
Superb AI provides the necessary tools I need to gather my data, set up a labeling team and monitor project processes in a concise and analytical manner, making this platform my favourite for data labeling and annotation.
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Great platform to serve a variety of Data Annotation needs and excellent team to cooperate with
What do you like best about the product?
Superb AI platform makes it very easy to work with different types of data at ease thanks to a variety of features available and a user-friendly interface. The platform does all the heavy lifting for organizing image batches, editing the annotations, and task review abilities. The workflow is easy, understandable, and seamless with the Superb AI platform. With a smart and remarkable approach to sorting, curating, and labeling data, SuperbAI truly transforms the way you can process huge volumes of data quickly and efficiently.
What do you dislike about the product?
While we absolutely love the robust functionality of Superb AI, there are a few areas that can be tweaked. The Lidar tool can be further enhanced by allowing users to take less action to resize existing annotations and add new ones. Some of the reporting can be improved by eliminating manual intervention of users.
What problems is the product solving and how is that benefiting you?
Superb AI platform offers everything we need to have an efficient way to manage the data and lead the annotator teams while maintaining quality and productivity.
More than Data Labeling, as standard as ‘import pandas’ for AI/ML projects
What do you like best about the product?
They've consistently improved their product, listening to customers and bringing to market tools and features that's sped up the duration of not only Production projects, but also proof of concepts.
What do you dislike about the product?
Explaining to clients the data privacy rules and constraints, even though the Service is fully compliant. It's not really a product problem as much as it is just educating users who's just getting started with AI/ML projects.
What problems is the product solving and how is that benefiting you?
Instead of pulling together different tools, that often requires getting DevOps involved, it's one set of tools that works well within existing workflows, being it AzureML, Sagarmaker or Custom.
Less DevOps and Enginnering time means more resources available to focus on model development.
Less DevOps and Enginnering time means more resources available to focus on model development.
It was great but the lagging made it frustrating.
What do you like best about the product?
-The platform is user friendly and the labelling tools are very simple to use.
What do you dislike about the product?
For large datasets, the platform lags a lot. Even when you try to filter the assets.
What problems is the product solving and how is that benefiting you?
The lagging issue. I believe that is something they are working and that will help with assigning the assets and also for data labelling.
Excellent UX with the right features to accelerate labeling for computer vision
What do you like best about the product?
The annotation UI is very easy to use and more efficient than others I have used.
The labeling management tools such as team features are excellent. The ability to build auto label models on labeled data is extremely useful to accelerate labeling.
The labeling management tools such as team features are excellent. The ability to build auto label models on labeled data is extremely useful to accelerate labeling.
What do you dislike about the product?
Keeping track of multiple data sets, data tags, models etc. can be a challenge. It's best to plan ahead! Setting up a new labeling project can be confusing if you don't read the documentation.
What problems is the product solving and how is that benefiting you?
We label images for both object detection and segmentation using the Superb suite. Our goal is to improve our production models which detect objects and segment objects on production images.
Fast, Easy and Scalable!
What do you like best about the product?
The Superb AI Suite was user-friendly, intuitive, and overall an amazing product to label various data assets. Their advanced models helped generate near-perfect auto-labels, allowing us to streamline and speed up the annotation process.
The platform features coupled with their exceptional support team make them a leading solution provider in the data labelling space!
The platform features coupled with their exceptional support team make them a leading solution provider in the data labelling space!
What do you dislike about the product?
None in particular so far, but we would like to see the Superb AI Suite handle more data asset types like Lidar/Point Cloud annotations, DICOM, and text annotations.
What problems is the product solving and how is that benefiting you?
As a data annotation service provider, managing many resources and keeping track of assigned jobs can often be tricky. Superb AI's annotation suite is highly intuitive to navigate and perfect for managing large teams, and we were able to incorporate our quality assurance steps seamlessly.
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