Incorporate a professional human-in-the-loop at every stage of your AI pipeline
Beyond just annotating your ground truth dataset, our humans can maintain the accuracy of your model while it’s being applied on real-life data
Dataset collection
Our humans collect and curate custom datasets which you can use to train your computer vision models
Dataset annotation
We label your datasets by coupling manual annotations with advanced auto-annotation and smart labeling tools
Model validation
Humans can be plugged into the pipeline in order to verify the model’s output and handle edge cases in real time
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Social impact
We are building the next generation of professional humans in the loop from conflict-affected regions and communities
We promote AI which is diverse and bias-free and we support projects which apply AI for social good
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Tools we love Vol.9: Darwin
Datasets
Daily objects around the world
27k images with bounding box and tag annotations released in partnership with Gapminder's Dollar Street project
Medical mask and accessory detection
6000 images for detecting medical masks and other accessories, published as a contribution to the fight against COVID-19
Semantic segmentation of aerial imagery
A dataset for drone and satellite vision prepared in partnership with the Mohammed Bin Rashid Space Centre in Dubai, the UAE
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