SuperAnnotate Pro
SuperAnnotateReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
203 reviews
from
External reviews are not included in the AWS star rating for the product.
The best annotation tool in the market
What do you like best about the product?
For our company, which specializes in ML solutions, we have tried several popular tools for image annotation/labeling, and SuperAnnotate had the easiest to use and the most relevant toolset for us. Particularly their smart semantic image segmentation tool is gold! It speeds up the process a lot. It's been more than a year we are using their services and we are very satisfied with it.
What do you dislike about the product?
So far we are very satisfied with their tools and customer support. Don't have any complaints
What problems is the product solving and how is that benefiting you?
Our company specializes in infrastructure inspection using satellite imagery and computer vision / ML. We are using SuperAnnotate's tools to do semantic image segmentation on satellite images. As their semantic segmentation tool automatically detects segments/objects on the image, and it lets you choose the level of segmentation details, it makes the work much faster and a lot more accurate. They also have rich analytics and tools to manage annotator teams, letting you assess easier how long it will take to annotate the next batch of the images and plan the costs, evaluate individual annotator's work quality, etc.
Also, together with the annotation software, they provide teams of annotators, which is very handy for a bootstrapped startup like ours, as it lets you quickly allocate as many professional annotators as you need based on the project size, without a need to hire them permanently.
Also, together with the annotation software, they provide teams of annotators, which is very handy for a bootstrapped startup like ours, as it lets you quickly allocate as many professional annotators as you need based on the project size, without a need to hire them permanently.
Fast, frequent updates, desktop versions, superb customer support, and most of all 'EASY'!
What do you like best about the product?
Very quick adoption time for our annotators who do not always come from a technical background. Furthermore, the UX of the platform has thus far been excellent, bridging speed and versitility (desktop version of SuperAnnotate) with nigh-instantaneous customer support. We have tested this out against alternatives and SuperAnnotate is by far the best we had.
What do you dislike about the product?
I think this is universal to CV-based platform providers but the semantic segmentation tool's draw line is a bit broad which factors in a little more pixels than I would like. Would definitely like a tool that helps to go into sub-pixels which I hear they are close to deploying.
What problems is the product solving and how is that benefiting you?
We use SuperAnnotate's platform to annotate and label large volume of images to fit into ML models, particularly in the space of autonomous vehicles, surveillance, geospatial analytics, and retail automation. In terms of benefits, I want to highlight two attributes unique to SuperAnnotate, (a) its fast, ridiculously fast, given that it uses an automation algorithm to sift through large volume of model training data and images that would've taken us a long time previously, and (b) they house what I assume to be a large and robust customer support cell since I have had platform-based feedback and additions solved within a week's time and inquiries answered in minutes.
Highly recommend Superannotate platform!
What do you like best about the product?
Superannotate platform is very comfortable to use, it's easy to reach annotation companies, train new annotators, upload data and download results. Also, their customer support is highly responsive.
What do you dislike about the product?
We really love it, we don't have dislikes
What problems is the product solving and how is that benefiting you?
We use their platform to annotate our data for various projects.
Our annotation teams are working faster due to their platform.
Our annotation teams are working faster due to their platform.
showing 201 - 203