Bounding box annotation helps drones detect and track objects by drawing precise rectangular boxes around targets such as vehicles, buildings, and people. This technique enhances AI models for autonomous navigation, surveillance, and infrastructure inspection, ensuring accurate object recognition and real-time decision-making.
Semantic segmentation enables drones to classify each pixel in an image, distinguishing between objects like roads, buildings, vegetation, and water bodies. This enhances AI-driven applications such as autonomous navigation, environmental monitoring, and infrastructure analysis by providing detailed scene understanding.
Polygon annotation enables precise object detection by outlining irregular shapes such as buildings, trees, and terrain. This technique enhances drone AI models for accurate mapping, obstacle detection, and environmental analysis, improving navigation and decision-making in real-world applications.
Enables drones to detect and mark roads, power lines, and other infrastructure using AI and computer vision, supporting safe navigation, inspections, and mapping for utilities and transportation.
Yes. You can use Unitlab AI for free, no credit card required. The free plan is great for getting started and testing workflows. If you need more scale, advanced features, or custom setups, paid plans are available.
Yep. Start free and upgrade anytime. Most teams begin on the free plan and move to a paid plan once their datasets or team size grow.
Unitlab AI supports multimodal data annotation, including image, video, audio, text, and DICOM. You can manage and annotate different data types in one platform using the same workflows.
Yes. Unitlab AI includes built-in AI models to speed up annotation with auto-labeling, tracking, and segmentation. You can review, edit, and validate everything to keep quality high.
Absolutely. Unitlab supports Bring Your Own Model (BYO) workflows. You can plug in your own models, combine them with Unitlab’s built-in models, and run multiple models in a single annotation workflow.
Pricing depends on the type of annotation, dataset size, number of classes, and complexity. Labeling services start from $0.02 per image, with custom pricing available for multimodal and large-scale projects.
You do. With on-premises deployments, all data stays inside your own infrastructure and Unitlab has no access to it. If you use Unitlab’s hosted platform, your data is encrypted and isolated, and is not visible to Unitlab staff. Access is strictly controlled and limited to your team based on roles and permissions.
It does. Unitlab is built for teams, with support for multiple annotators, reviewers, approval steps, and full annotation history so nothing gets lost.
Yes. Unitlab is designed to scale, from small experiments to production-level data annotation. Teams use it to manage large datasets, complex workflows, and long-running annotation projects.
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