Data labeling
for computer vision

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

Trusted by machine learning teams worldwide
What we do

Unique human insights for your data

  • Detect subtleties often missed by AI with human’s contextual understanding.
  • Gather expert knowledge data with our team of domain experts.
  • Align AI systems with human intent and values.

Quick, Accurate Annotations with Model-Assisted Labeling

  • Data turnaround in hours using model-assisted labeling and a global workforce.
  • Precise annotations with AI-generated labels validated and adjusted by our human experts.
  • Scale confidently without compromising on quality.

Visibility & Control Over Data Quality So You Can Deploy with Confidence

  • Track the progress of your projects in real-time.
  • Provide feedback to progressively better data labeling.
  • Analyze collaboratively across your team to uncover key insights and edge cases.
HOW TO START

Set up, iterate, and scale with consistent quality

3-step setup, no code needed

1. Upload data locally, Amazon S3 or SUPA API
2. Set labels or taxonomy
3. Create instructions with our templates

Optional: Add collaborators to the project so everyone on your team is up to speed on metrics, quality and feedback.
Complete visibility, no more waiting to review and iterate

View labeled tasks on your Dashboard within hours of starting a project.

1. Get tasks relabeled where necessary
2. Review edge cases and tasks that were skipped
3. Update instructions if needed
Consistent quality, driven by feedback

1. Built in QA tools save you time from setting up additional tools
2. Flexibly select sample size for QA according to your quality tolerance
3. Quickly detect issues such as class imbalance, class-specific edge cases
A collaborative workflow via a feedback loop to:

1. Spot edge cases and rare/ambiguous events in your dataset
2. Collaborate with our annotators to improve each batch
3. Increase instructions clarity and understanding
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.

Book a demo

Let us walk you through the entire data labeling experience, from set up to export

Schedule a chat

Updates

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Got a question?

Who will label my data?
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Our expert annotators will label your data (after undergoing a stringent series of training courses and assessments, of course). They are remote annotators who work part-time on different projects available via our platform. Annotators are assigned to projects automatically once they are qualified for the tasks.

Who will label my data?
icon for arrow-right

Our expert annotators will label your data (after undergoing a stringent series of training courses and assessments, of course). They are remote annotators who work part-time on different projects available via our platform. Annotators are assigned to projects automatically once they are qualified for the tasks.

Who will label my data?
icon for arrow-right

Our expert annotators will label your data (after undergoing a stringent series of training courses and assessments, of course). They are remote annotators who work part-time on different projects available via our platform. Annotators are assigned to projects automatically once they are qualified for the tasks.

Who will label my data?
icon for arrow-right

Our expert annotators will label your data (after undergoing a stringent series of training courses and assessments, of course). They are remote annotators who work part-time on different projects available via our platform. Annotators are assigned to projects automatically once they are qualified for the tasks.

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This is Default State example
This is Default State example
This is Default State example
This is Default State example
This is Default State example
This is Default State example
This is Default State example
This is Default State example
This is Default State example