Bounding box annotation for object detection in security helps AI systems identify and track objects such as people, vehicles, or suspicious items within surveillance footage. By drawing precise rectangular boxes around objects, security systems can enhance threat detection, automate monitoring, and improve response times.
Segmentation for thief detection enhances security systems by accurately identifying and isolating individuals engaged in suspicious activities. By classifying each pixel in an image or video feed, AI can distinguish a thief’s movements from the surrounding environment, improving accuracy in real-time surveillance and reducing false alarms.
Yes, it is! No credit card is required to use Unitlab. You can use the Unitlab tool for free forever as long as you stay within the set limits. However, for more extensive use, Unitlab offers a subscription model. This model's pricing is customized to your organization's specific usage, data requirements, and any extra services you might need, like our advanced labeling solutions. To get a tailored quote and further information, please connect with our sales team.
Yes, you can start working with a Free Plan and then change plans in the future as you evaluate which is best for you.
Data Labeling Services start at just $0.02 per image. The base price depends on the types of data annotation, the number of classes, and the average number of objects to annotate per image.
Unitlab offers a range of scalable On-Premises solutions! Contact Us to discuss your requirements. You can purchase Unitlab's On-Premises solution after consulting with us. We help you install our entire annotation system in your workspace.