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.
Currently, we only support COCO JSON output format. We'll be introducing other output formats soon. If you require another output format, drop us a message here.
Our annotators will start labeling your data as soon as you start a project. One of our users received annotated images with around 2,500 annotations in less than 2 hours. Note: turnaround time varies according to the complexity of the project.
Before you start, provide clear labeling instructions so our annotators understand how to label your images accurately. Our annotators will also help you surface label noise through our built-in collaborative feedback loop.
Your data is only visible to human labelers throughout the labeling process. We will not share or use your data for any reason other than the labeling.
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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.
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.
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.
The annotators were really quick. I would upload and 5 minutes later - 10 images done. I checked 5 minutes later - 100 images done.
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.
Let us walk you through the entire data labeling experience, from set up to export
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