SuperAnnotate Pro
SuperAnnotateReviews from AWS customer
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Precise and concise
What do you like best about the product?
Very user friendly, visually pleasing as well
What do you dislike about the product?
Could be hard to comprehend for beginners
What problems is the product solving and how is that benefiting you?
Giving us key insight into training and helping our users benefit through easy and comprehensive ways to learn
All-in-one platform and services
What do you like best about the product?
SuperAnnotate has well-built automation features that makes the annotation process less time-consuming. Smart segmentation is a good example.
What do you dislike about the product?
Nothing significant that SuperAnnotate did not address in time.
What problems is the product solving and how is that benefiting you?
We were working on various annotation projects and the team used SuperAnnotate to label our data. The annotation tool was easy to work with regardless of project complexity.
Super Annotate is very user friendly tool for any and every kind of annotation we can think of.
What do you like best about the product?
User-friendly tool,
QA interface
End to end platform for annotations
QA interface
End to end platform for annotations
What do you dislike about the product?
Absolutely nothing, it is one of the best tools we have used so far.
What problems is the product solving and how is that benefiting you?
We use SuperAnnotate for data labeling using vector, pixel and BB. We have been able to achieve accurate results and a high-quality dataset of annotations.
SuperAnnotate makes image annotation for large datasets effortless
What do you like best about the product?
The ease of use of the platform within a project team for image annotation and project management is unparalleled.
What do you dislike about the product?
Nothing in particular for the task I use it for, but more can be done on the aspect of compatibility with different annotation styles
What problems is the product solving and how is that benefiting you?
I generally use SuperAnnotate for image annotations to be used in computer vision projects. It has made the collaborative image annotation process smooth, and speed up the time spent in the process
Great Platform, Fast Project Delivery!
What do you like best about the product?
The editor is easy to use and is being constantly improved.
What do you dislike about the product?
There isn’t anything I didn’t like. Plus SuperAnnotate’s support team is quick to respond.
What problems is the product solving and how is that benefiting you?
We needed our model to identify flaws in the documentation. Our first batch was completed quicker than we anticipated due to the proficiency of the team handling our project.
Great tooling and fast support
What do you like best about the product?
We've been working with SuperAnnotate for almost a year now. We selected SuperAnnotate because of its feature set, excellent customer support and the service marketplace. Results are way above the curve compared with those of the previous tooling we were using. We had their support team jumping on any slight adjustment we needed them to make.
What do you dislike about the product?
We did not face anything that wasn’t addressed and solved in a timely manner.
What problems is the product solving and how is that benefiting you?
We were looking for software that provided both the labeling tool and the annotation services. We made the decision to switch to SuperAnnotate due to its responsive service coordination and support. Our involvement in our project was little without affecting the outcome.
Top choice labeling Platform
What do you like best about the product?
We were looking for a data annotation service provider that could take over our project and get back to us with high-quality training data without passing our project deadlines. SuperAnnotate offered us both the tooling and the service team. We had the project complete much faster than we expected without any issues on the quality side.
What do you dislike about the product?
Everything from onboarding to delivering the results exceeded our expectations.
What problems is the product solving and how is that benefiting you?
We had one big annotation project but it involved a wide range of annotations needed to complete the task. SuperAnnotate’s tooling is great for complex projects. Having been presented with the tooling, we realized we did not need to worry about how our projects will be delivered.
Product AND service
What do you like best about the product?
Good product and good service in one place
The people who built this thing deeply understand how it is to train ML.
The people who built this thing deeply understand how it is to train ML.
What do you dislike about the product?
SuperAnnotate originally started with computer vision. We need the same great product and service, but with more features for massively multilingual *natural language* datasets.
What problems is the product solving and how is that benefiting you?
We need *quality* data, not just quantity. In the past, we got quotes and services from less technical vendors, small ones and big ones (like Lionbridge AI). The quotes are all over the map that it's clear they're not even quoting for the same thing because they don't understand ML. Bad data just comes back to bite us.
We also did it in-house (and even built our own labeling app), but we don't want to spend a lot of time managing and policing it, and we promised ourselves "Never again".
We also did it in-house (and even built our own labeling app), but we don't want to spend a lot of time managing and policing it, and we promised ourselves "Never again".
Recommendations to others considering the product:
With labeling, the thing is to consider your job size/frequency and use case.
- Quality is always more important than you think, else you question results and have to redo everything.
- The overhead management work is more than you think, better to outsource.
And those two are in tension with each other.
- Quality is always more important than you think, else you question results and have to redo everything.
- The overhead management work is more than you think, better to outsource.
And those two are in tension with each other.
Amazing team and great product
What do you like best about the product?
We like the most how customized we can make SuperAnnotate's labeling to fit our specific needs. We also have specific rules we like to follow around QAing our labels, and this system helped us do that very well.
What do you dislike about the product?
One time we ran into an issue where we needed a lot of images labeled quickly and quickly increased the number of annotators. This was an issue as we didn't realize we'd be paying for a lot of people to learn how to label our data. We worked with the SuperAnnotate team to quickly resolve this and find a method of labeling that maximized cost per label while not sacrificing quality.
What problems is the product solving and how is that benefiting you?
We've been able to quickly label our data and review these labels to make sure they fit our specific machine learning needs. Thanks team!
Best Text Annotation Tool I Came Across!
What do you like best about the product?
I was exploring a few annotation tools to select for our project and SuperAnnotate was the best choice in terms of the introduction and onboarding. We were trained and ready to kickstart the project in no time.
What do you dislike about the product?
We’ve been working on the platform for a couple of months now and everything we had trouble with was solved instantly.
What problems is the product solving and how is that benefiting you?
Our project has a huge set of documents we need to be labeled and SuperAnnotate’s document editor is well designed to meet our needs.
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