Segments.ai works
on your data
Customers use our platform to build better datasets for a wide variety of use cases: from microscopic imagery to autonomous driving.
Automotive & robotics
Autonomous navigation
Autonomous navigation is indispensable for robots. Full panoptic segmentation labels are key to building scene perception models. Segments.ai has been used to build labeled datasets of street, sidewalk and landscape scenery.
Drone & Satellite
Mapping, inspection and global monitoring
Drone and satellite imagery is often complex, requiring a careful curation of the dataset before model training. Segments.ai has been used to monitor cloud forming, assess agricultural yields and build navigation maps.
Retail & Sports
Tracking and behavioral analysis
New technological advances for in-store shopping require careful consumer tracking. Data-driven approaches are entering the sports industry to improve player performance. Vision-based consumer technologies are advancing thanks to improved mobile hardware. Various related datasets have passed through our platform.
Pharma & Biotech
Microscopical analysis and cell counting
Various pharmaceutical and biotech processes are still based on manual efforts with significant efficiency gains through vision-based technology. For example, Segments.ai has helped build datasets for analyzing complex crystallic structures.
Manufacturing & Construction
Failure detection and damage inspection
Industrial processes require accurate ground truth for failure detection, predictive maintenance and object tracking. Segments.ai has been used to manage waste efficiently and to identify defects in wind turbines, among others.
Augmented Reality & Virtual Reality
Visual object replacement and object tracking
Our platform has been used to manage and label large indoor real estate datasets for AR & VR purposes, which often require panoptic segmentation labels to obtain full scene perception.
The computer vision platform to build better datasets iteratively
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