Bounding box annotation for logistics involves marking regions of interest in images or video data, such as vehicles, cargo, or delivery items. This technique is crucial for training AI models to track shipments, optimize routes, and improve operational efficiency within the logistics and transportation industries.
Polygon for logistics involves precisely labeling and separating different elements within images, such as parcels, vehicles, or inventory. This technique helps AI models understand and analyze complex environments, enhancing tracking, sorting, and route optimization in the logistics and supply chain sectors.
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.
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