SuperAnnotate Pro
SuperAnnotateReviews from AWS customer
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SuperAnnotate is worth working - Simple, Easy and better
What do you like best about the product?
- It is so simple to use and even a beginner can understand how to work there.
- No need to do unnecessary verifications several times.
- The UI is very simple and understandable.
- Comparing it from other Data Annotation platform, it contains limited but great talent.
- No need to do unnecessary verifications several times.
- The UI is very simple and understandable.
- Comparing it from other Data Annotation platform, it contains limited but great talent.
What do you dislike about the product?
- Payment method is not integrated in this.
- Sometimes few people don't communicate well due to which misunderstanding occurs.
- Sometimes few people don't communicate well due to which misunderstanding occurs.
What problems is the product solving and how is that benefiting you?
The SuperAnnotate solve the problem of UI which helps the users to understand it better.
SuperAnnotate also allows the tasks pipelines manual allowing the administrator to assign tasks to the people who are capable of doing it.
It was beneficial for me because as a good contributor I was never out of tasks until the projects ends.
SuperAnnotate also allows the tasks pipelines manual allowing the administrator to assign tasks to the people who are capable of doing it.
It was beneficial for me because as a good contributor I was never out of tasks until the projects ends.
One of the best Data Annotation Platform I have ever worked wit.
What do you like best about the product?
The most helpful part about SuperAnnotation is the platform is very simple to work and keep the track of you work. The dashboard and the workspace is so simple that it is understandable even you are a beginner.
The Analytics part of SuperAnnotate help me to keep a track of the work I did and my performance.
The upsides of using SuperAnnotate is work-life balance, remote operation, work as per the choice.
I really enjoyed working with SuperAnnotate.
The Analytics part of SuperAnnotate help me to keep a track of the work I did and my performance.
The upsides of using SuperAnnotate is work-life balance, remote operation, work as per the choice.
I really enjoyed working with SuperAnnotate.
What do you dislike about the product?
Sometimes I didn't got good response from the team I was working with. And while switching between the tasks I faced a glitch that the task ID changed but the task didn't because of which I have to restart the platform several times while working.
What problems is the product solving and how is that benefiting you?
I worked as QA in SuperAnnotate for Coding languages. SuperAnnotate help the models to get trained with one of the best data with are refined through seven layers.
Best annotation platform out there
What do you like best about the product?
Best annotation platform out there. Very easy to use
What do you dislike about the product?
There is nothing I dislike about SuperAnnotate.
What problems is the product solving and how is that benefiting you?
Helping clients improve the accuracy of their model by providing them with best response evaluation
Super Annotate Review
What do you like best about the product?
SuperAnnotate is its seamless combination of powerful annotation tools and robust project management capabilities, which significantly accelerate the development of high-quality training data for computer vision projects. The platform’s support for collaboration across large teams, along with automation features like model-assisted labeling, makes it both scalable and efficient for real-world ML applications. I also appreciate SuperAnnotate’s focus on quality assurance and its ability to integrate with various ML pipelines, which helps ensure consistency and accuracy across datasets. It’s clear that the platform is designed with both data scientists and annotators in mind.
What do you dislike about the product?
While SuperAnnotate is a powerful and intuitive platform, one area that could be improved is the learning curve for first-time users—especially those unfamiliar with advanced annotation workflows or project setup. More in-depth onboarding tutorials or contextual help within the UI could make it easier for new team members to get up to speed quickly. Additionally, more flexibility or customization in QA workflows and integration with niche tools would make the platform even more adaptable to complex or domain-specific projects.
What problems is the product solving and how is that benefiting you?
SuperAnnotate is solving the critical problem of efficiently managing and scaling high-quality data annotation for machine learning projects—especially in computer vision. It addresses the challenges of manual labeling, quality control, and collaboration by providing tools that streamline the annotation process, support model-assisted labeling, and allow robust project tracking and team coordination. For me, this translates into faster iteration cycles, reduced data bottlenecks, and more reliable training datasets. It’s especially valuable when working on complex workflows with multiple stakeholders or when precision and consistency in annotations directly impact model performance.
Efficient and user-friendly, but video loading needs improvement
What do you like best about the product?
The platform is easy to use with a clean, intuitive interface.
What do you dislike about the product?
Video clips take a long time to load, which can be frustrating during time-sensitive tasks. The timer begins running before the clip is fully loaded, reducing productivity and fairness in task timing.
What problems is the product solving and how is that benefiting you?
SuperAnnotate helps streamline the process of annotating visual data, especially videos, which is essential for training AI models. As an annotator, it allows me to complete tasks more efficiently by providing the tools I need in one platform. It simplifies collaboration, ensures consistency in labeling, and helps maintain quality across large datasets.
SuperAnnotate makes annotating videos SuperEasy.
What do you like best about the product?
This programme makes the process of annotating video both easy and fun. I got the hang of how to use this programme in about 10 minutes. The work box provided gives prompts that allow all of the required information to be provided in full, and the insert time button makes putting in time codes very easy. I also make great use of the tracking feature, moving the slider frame by frame to identify exactly where scene changes happen and what they are. Having the annotation box alongside the video also makes it very easy to switch between the two.
What do you dislike about the product?
I have no real criticisms. Just suggestions. Like perhaps dividing the Annotation section up into more boxes that allow for the Annotator to remember to include details such as Setting and Type of Shot, etc...
What problems is the product solving and how is that benefiting you?
Allowing for the breaking down of video clips into describable and trackable sections that help with video editing and AI training.
Best Data annotation platform for LLM and GEN-AI
What do you like best about the product?
The UI is very user-friendly, and the analytics tab provides accurate insights.
What do you dislike about the product?
The memory usage of the tool is a little bit on the higher side.
What problems is the product solving and how is that benefiting you?
Supports multiple types of data in a single platform, which makes the labelling process super easy.
Amazing tool to work for LLM including AI projects.
What do you like best about the product?
Its server never gets down and help user to work smoothly.
What do you dislike about the product?
The tool might give wrong time for working hours.
What problems is the product solving and how is that benefiting you?
Generating accurate analytics.
SuperAnnotate streamlined our annotation workflows and boosted team productivity!
What do you like best about the product?
SuperAnnotate's intuitive interface and powerful collaboration tools make it incredibly easy to manage large-scale annotation projects. I love the automation features, which save significant time, and the detailed quality control mechanisms that help maintain high annotation standards. Their customer support team is responsive and genuinely helpful whenever we face any challenges. Integration with other tools is seamless and adds a lot of value.
What do you dislike about the product?
Initially, there was a slight learning curve to fully understand all the advanced features, but the platform offers great tutorials and documentation that made the process much easier. Some integrations could offer deeper customization options, but overall, these are very minor compared to the benefits the platform provides.
What problems is the product solving and how is that benefiting you?
uperAnnotate helps us solve the major challenge of efficiently managing large, complex data annotation projects while maintaining high accuracy and quality. Before using it, we struggled with inconsistent labeling, slow project turnaround times, and difficulty collaborating across teams. Now, with SuperAnnotate’s advanced annotation tools, automation, and streamlined workflows, we are able to speed up project completion, ensure consistent high-quality outputs, and collaborate easily across different teams and locations. This directly improves our model training results and saves both time and operational costs.
Solid platform for annotation and quality analysis work.
What do you like best about the product?
The biggest upside is the platform's clean design and how smoothly it operates, even when dealing with detailed review tasks. It feels robust and reliable. Knowing that responsive support is available is also a significant plus for users.
What do you dislike about the product?
The least helpful aspect was the waiting time for the assessment task to populate after profile creation. While onboarding processes vary, clearer communication or managing expectations around this potential delay (which seemed longer than a couple of hours) could improve the initial user experience.
What problems is the product solving and how is that benefiting you?
SuperAnnotate tackles the challenge of ensuring high-quality data for training and evaluating AI. In my work involving linguistic QA for Large Language Model data, the platform provided essential tools for detailed Data Labelling (like identifying errors) and improving content accuracy, directly benefiting the quality of AI outputs.
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