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Best and user-friendly annotation tool
What do you like best about the product?
magic polygon option is fabulous.and its helpimg me to save lot of time and output result of the polygon is accuarate .
What do you dislike about the product?
after submitting the image to qc or compelte ,the palet is obstructing the view ( it wont dissapper soon, untill we click on it).
What problems is the product solving and how is that benefiting you?
we have a project like car part annotation, in this project we were marking the parts of the car manually in early days, but aftre intruducing the magic polygon tool, it automatically create bounding box around the car parts and saving our time.
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Good platform and best-in-class support
What do you like best about the product?
The labeling platform itself is quite good and often receives updates. But more importantly, the SuperAnnotate team is very involved and takes the lead on ensuring we get quality labels. Other solutions we've used in the past required constant supervision and involvement from one of our engineers to get quality labels. But w/ SuperAnnotate one of their team manages our project and shepherds it to completion, while still allowing us to get as involved as we want / have time to be.
What do you dislike about the product?
While some other labeling services let you get started with small batches before committing to the service, that's not possible with SuperAnnotate. While the SuperAnnotate team worked with us to get to a price level we were comfortable with, the level of commitment required might not work for everyone. That said, I don't think they'd be able to provide us with the level of support without this pricing model, so it was worth it for us.
What problems is the product solving and how is that benefiting you?
We have specific data-needs that aren't covered by existing open-source datasets. SuperAnnotate lets us quickly get large amounts of custom imagery labeled to our specific specifications.
Fast and pixel-level accuracy semantic segmentation
What do you like best about the product?
I like that it is a web-based platform that allows collaboration and connecting with cloud storage. Another advantage is that permits model training and connecting with a python via a SDK.
What do you dislike about the product?
It would be very informative if the pricing is shared. Another feature that would be useful: The platform should be free, i.e. access to all the features while keeping the datasets open-source.
What problems is the product solving and how is that benefiting you?
It is helping me in annotating images for my master's thesis research. Specifically, for semantic segmentation of fisheye imagery, which I use to further train an AI model.
Amazing AI data annotating tool
What do you like best about the product?
Many annotation-processing steps, including segmentation and labeling, are automated by SuperAnnotate, which can speed up work and enhance productivity.
Businesses can handle more complicated picture and video data with SuperAnnotate's advanced features, including object tracking, 3D annotation, and point cloud annotation.
Users of SuperAnnotate can customize workflows to meet their unique requirements and preferences, which can improve accuracy and efficiency.
The largest challenge every organisation confronts when labelling data is data management and workflow, a challenge that the SuperAnnotate platform readily solves because to its faultless performance.
Businesses can handle more complicated picture and video data with SuperAnnotate's advanced features, including object tracking, 3D annotation, and point cloud annotation.
Users of SuperAnnotate can customize workflows to meet their unique requirements and preferences, which can improve accuracy and efficiency.
The largest challenge every organisation confronts when labelling data is data management and workflow, a challenge that the SuperAnnotate platform readily solves because to its faultless performance.
What do you dislike about the product?
This platform doesn't have any automobile tools or segmentations; I wish it would because it would help us make mistakes less frequently.
If there were additional language choices, it would be excellent.
If there were additional language choices, it would be excellent.
What problems is the product solving and how is that benefiting you?
The group fulfilled all of our requests for necessary items. We're delighted to keep collaborating with your excellent support staff.
With SuperAnnotate's capabilities, we can finish labeling photographs faster.
With SuperAnnotate's capabilities, we can finish labeling photographs faster.
Great Customer Relationship
What do you like best about the product?
We have really appreciated SuperAnnotate's adaptability. As new edge cases and error modes come up, our annotation needs change. SuperAnnotate has been an active partner in helping solve problems and working to deliver us the best datasets possible. And the tools and APIs they have available have been able to solve almost of our dataset use cases.
There are a lot of annotation vendors out there, so it is hard to say how SuperAnnotate compares in terms of quality/quantity/price tradeoffs, but we have been satisfied so far.
There are a lot of annotation vendors out there, so it is hard to say how SuperAnnotate compares in terms of quality/quantity/price tradeoffs, but we have been satisfied so far.
What do you dislike about the product?
SuperAnnotate prefers upfront financial commitments, but charges on a per-label basis. It can be complicated to predict how much we will spend when we don't know ahead of time how many labels we will need for each image. And the partnership works best when there is a steady stream of work, so it has been a struggle sometimes to always keep the work queue full of new examples to label. I haven't worked with other companies, but I imagine this is common across the industry.
What problems is the product solving and how is that benefiting you?
SuperAnnotate provides annotations on top of imagery so that we can build computer vision datasets. This helps us guarantee the quality of our dataset.
Superannotate is an excellent annotation tool!
What do you like best about the product?
Superannotate is an excellent annotation tool. It is a robust platform that allows users to efficiently and accurately label images, videos, and other data types for machine learning applications.
Superannotate provides a wide range of annotation features, including bounding boxes, segmentation, and point annotation. Its user-friendly interface and intuitive tools make it easy for even novice users to learn and annotate data quickly.
One of the standout features of Superannotate is its ability to handle large-scale annotation projects efficiently. Its collaborative workflow allows multiple users to work on a project simultaneously, making it an ideal solution for teams working on complex data sets.
Overall, Superannotate is a fantastic tool that can significantly streamline the annotation process for machine learning projects. I highly recommend it to anyone looking for an efficient and accurate way to label data.
Superannotate provides a wide range of annotation features, including bounding boxes, segmentation, and point annotation. Its user-friendly interface and intuitive tools make it easy for even novice users to learn and annotate data quickly.
One of the standout features of Superannotate is its ability to handle large-scale annotation projects efficiently. Its collaborative workflow allows multiple users to work on a project simultaneously, making it an ideal solution for teams working on complex data sets.
Overall, Superannotate is a fantastic tool that can significantly streamline the annotation process for machine learning projects. I highly recommend it to anyone looking for an efficient and accurate way to label data.
What do you dislike about the product?
Cost: Superannotate is a paid platform, and its pricing can be a barrier for some users, especially those who have limited budgets. However, the cost also ensures that the platform is well-supported and offers advanced features that can significantly improve the efficiency and accuracy of data annotation.
Overall, while these factors may present some challenges for certain users, they are also indicative of Superannotate's advanced features and robust capabilities, which can offer significant advantages for those who require high-quality data annotation.
Overall, while these factors may present some challenges for certain users, they are also indicative of Superannotate's advanced features and robust capabilities, which can offer significant advantages for those who require high-quality data annotation.
What problems is the product solving and how is that benefiting you?
Superannotate is solving the problem of efficiently and accurately labeling large amounts of data for machine learning applications. Data annotation is a critical step in the development of machine learning models, and it can be time-consuming, tedious, and error-prone when done manually.
Superannotate offers a comprehensive platform that streamlines the data annotation process and ensures high-quality and consistent labeling. The platform provides a variety of annotation tools, including bounding boxes, segmentation, and point annotation, among others, to enable users to annotate different types of data effectively.
Superannotate's collaborative workflow enables multiple users to work on a project simultaneously, making it an ideal solution for teams working on complex data sets. The platform also offers features like quality control, data versioning, and automatic annotation to further improve the efficiency and accuracy of the annotation process.
Superannotate offers a comprehensive platform that streamlines the data annotation process and ensures high-quality and consistent labeling. The platform provides a variety of annotation tools, including bounding boxes, segmentation, and point annotation, among others, to enable users to annotate different types of data effectively.
Superannotate's collaborative workflow enables multiple users to work on a project simultaneously, making it an ideal solution for teams working on complex data sets. The platform also offers features like quality control, data versioning, and automatic annotation to further improve the efficiency and accuracy of the annotation process.
Great experience!
What do you like best about the product?
Very user friendly. The interface is great. Annotation time was shorter compared to other softwares.
What do you dislike about the product?
Nothing to dislike so far. Nothing to dislike so far.
What problems is the product solving and how is that benefiting you?
It's helping us identify pathologies with the goal of decreasing the amount of studies and procedures needed to manage and treat our patients
Great experience and user friendly interface
What do you like best about the product?
Easy to use and flexible with all annotation needs
What do you dislike about the product?
So far have not found any disadvantages while using the platform.
What problems is the product solving and how is that benefiting you?
Helping with automation and image recognition in the medical field for research purposes
Perfect for Annotating Medical Images
What do you like best about the product?
It is easy to handle and it's free for students. Also there are tools wich make annotating faster and more organized
What do you dislike about the product?
Sometimes it's not easy to understand everything in english
What problems is the product solving and how is that benefiting you?
I use for medical imaging. I annotate pictures to train an AI
Great data labeling, management platform
What do you like best about the product?
We found the text editor very easy to use. My team noted that we cut the annotation time drastically compared with the previous software we were using. Next, SuperAnnotate’s support was very responsive, which helped to address any questions we had quickly.
What do you dislike about the product?
Nothing really. So far, we have been very satisfied.
What problems is the product solving and how is that benefiting you?
We are working on text data. I can’t disclose too much here but our project required a software that would provide both the software and a platform to manage our data. We are working on our own project and annotating the documents ourselves. THis means we do need a data management platform to detect mistakes in labeling and correct them quickly. SuperAnnotate’s team was the easiest to work with to onboard and kickstart our work.
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