continuously
better
computer
vision
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
Our humans can be plugged into the pipeline in order to verify the model’s output and handle edge cases in real time
Our advantages
EU-based and GDPR-compliant
We are headquartered in the European Union and we are fully compliant with GDPR regulations. We reduce the transfer of sensitive data at a maximum. Datasets are collected and annotated with special attention to biometric and personal data.
Transparent and flexible pricing
We only charge you per item (file, annotation, or data point processed) and we have no additional or hidden fees for quality control, project setup or tool usage. Hourly rates are also available. There are no minimum or maximum volumes for projects.
Dedicated teams and manager
We assist you in scoping your project and choosing the appropriate tool, and we complete the tasks in several iterations based on your feedback. The same team works on all batches from the same client so as to develop expertise and consistency.
Trusted by
Expert labeling teams
Medical
Radiology, ultrasound, robotic-assisted surgery
Geospatial
Aerial imagery from drones and satellites
Automotive
Autonomous driving, traffic, damage analysis
Industrial
Manufacturing, recycling and logistics
Agriculture
Smart farming, plant and weed segmentation
Retail
Supermarkets, e-commerce and fashion
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
Read our latest posts
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
6k images for detecting medical masks and other accessories, published as a contribution to the fight against COVID-19
Semantic segmentation of aerial imagery
72 images for drone and satellite vision prepared in partnership with the Mohammed Bin Rashid Space Centre in Dubai, UAE
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