Data labeling
for computer vision

Create pixel-perfect, high quality training data
to unblock your CV data needs

Trusted by machine learning teams worldwide

reviews
Benji Meltzer
CTO at Aerobotics
An integral part of our AI journey

“Aerobotics has partnered with SUPA for data annotation since 2020. Their dependable and collaborative approach has made them an integral part of our AI journey."

Read more about how SUPA helped Aerobotics scale up to 170% in a week at 97% accuracy

Dominic Calina
Head of Data at Greyparrot AI
Slashing startup time from 2-3 weeks to a mere 24 hours

"SUPA's labeling support has been instrumental in our accelerated progress."

Read more about SUPA's ongoing collaboration with Greyparrot 

Dmitri
ML Data Engineer at ZERO10
Outstanding accuracy of over 99%

“What do we like best about SUPA? The quality and thoughtful approach to requirements elicitation."

Read more about SUPA’s fast delivery of segmentation data with over 99% accuracy 

Jonas Olausson
Data Engineer at Black.ai
Way easier than Amazon Sagemaker and Labelbox

"The best interface for self-service labeling. Everything from uploading data to seeing it labeled in real time was really cool. Very impressed with how the platform delivered exactly the label quality we needed."

Sparsh Shankar
Associate ML Engineer at Sprinklr
Incredible turnaround

"The annotators were really quick. Checked 5 minutes after uploading data - 100 images done."

Sravan Bhagavatula
Director of CV at Greyscale AI
Better iterations

"Real-time view of the generated labels gave me instant feedback about the label quality. No more waiting for the whole batch. This replaced my standard manual QA process using external tools like Voxel's FiftyOne."

Puneet Garg
Head of Data Science at Carousell
High quality labels

"SUPA has provided us with good quality judgments to train, tune, and validate our Search & Recommendations models. Before this, it was difficult to scale our labeling workflows."

Bryce Wilson
Data Engineer at Black.ai
Consistent support

"What stands out is their commitment to providing consistent support throughout the data labeling process. The team actively engaged with us to clear up any ambiguity in the dataset including edge cases we didn't foresee."

how we deliver consistent quality

An elite workforce, full visibility on quality and an optimised task distribution system

Bryce Wilson
Data Engineer at Black.ai

Consistent support

If there's one thing that makes SUPA stand out, it's their commitment to providing consistent support throughout the data labeling process. The team actively and efficiently engaged with us to ensure any ambiguity in the dataset was cleared up.

Jonas Olausson
Data Engineer at Black AI
The best interface for self-service labeling.

Everything from uploading data to seeing it labeled in real time was really cool. This is just way simpler to use compared to Amazon Sagemaker and LabelBox. I was also very impressed with how the platform delivered exactly what we needed in terms of label quality.

Sravan Bhagavatula
Director of Computer Vision at Greyscale AI
Launch a revised batch within hours

I was also able to view the labels as they were being generated, which gave me quick feedback about the label quality, rather than waiting for the whole batch. This replaced my standard manual QA process using external tools like Voxel's Fiftyone, as the labels were clear and easy to parse through in real-time.

Sparsh Shankar
Associate ML Engineer at Sprinklr
Really quick

The annotators were really quick. I would upload and 5 minutes later - 10 images done. I checked 5 minutes later - 100 images done.

Puneet Garg
Head of Data Science at Carousell
Good quality judgments

The team at [SUPA] has been very professional & easy to work with since we started our collaboration in 2019. They've provided us with good quality judgments to train, tune, and validate our Search & Recommendations models.

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