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Our in-house professionals, using our image annotation tools with built-in machine learning and multiple layers of quality control, create the tightest and most accurately bounding boxes for computer vision and deep learning applications.
Each pixel in an image is mapped into specific classes; for example 'cars' and 'pedestrians' in autonomous driving data.
Every pixel in an image is mapped to specific classes. Regularly used in drone and autonomous driving technology.
Each frame or key-frames annotated with or without object tracking.
Computer vision can support clinicians and researchers in the diagnosis of diseases and in the pursuit of new routes of treatment. Diseases could be diagnosed faster and more precisely with the help of artificial intelligence, comparing to the conventional procedures.
Machine learning can be used in surgeons’ training processes and as assistance during complicated surgeries. It reduces the risk of advanced surgeries, saves resources, and lowers trauma consequences.
Computer vision takes this process to the next level. Models can be trained to recognize and diagnose diseases on MRI, CT, and X-ray scans. They can recognize changes very fast, which helps with accuracy and semi-automatization.
Lung Segmentations, labelled with a patients sex, age and days since hospitalization can train models to predict the type of infection, a patients possible ventilator needs, and probability of survival.
We are looking for radiologists to help us annotate X-ray images of lungs, and to defeat COVID-19 together. If you are at home due to restrictions in your country you can stay in the fight.Contact Us