Use our image annotation services to implement computer vision for your surveillance systems.Get in touch!
Choose the most suitable annotation service for your project, or contact us to find the best fit together.
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 be used to identify faces in images or videos. Systems compare faces from images in their database to find out to which extent they are matching to the unfamiliar ones. This can be used on social media platforms or in surveillance.
Predict visitors’ movements and behavior by training the AI model with different human actions. Get notified if there is a risk possibility, and prevent it in time.