segments.ai: Advanced Multi-Sensor Labeling for Robotics and Automotive AI

segments.ai is a powerful, AI-enhanced labeling platform designed specifically for robotics and automotive industries, enabling precise and efficient annotation of 3D point clouds and 2D images in a unified interface. Built for computer vision engineers working on autonomous vehicles, ADAS, delivery robots, off-road systems, and maritime robotics, it streamlines data preparation with intelligent automation, seamless sensor fusion, and deep integration into ML workflows. The platform stands out with its robust support for semantic, instance, and panoptic segmentation, along with advanced tools like Superpixel 2.0, Autosegment, Hover-and-click, and machine learning-powered object tracking. Its ability to handle unlimited-size point clouds via 3D tiles technology, combined with real-time interpolation, smart cuboid propagation, and customizable hotkeys, makes it ideal for high-accuracy, large-scale labeling tasks. With a Python SDK, API access, and export compatibility across PyTorch, TensorFlow, and Hugging Face, segments.ai empowers teams to accelerate model training and deployment. Academic users benefit from a fully free license, while startups and enterprise teams receive tailored pricing and premium support.

Key Features:

• Multi-sensor labeling for 3D point clouds and 2D images in a single interface
• Comprehensive annotation types: segmentation (semantic, instance, panoptic), cuboids, keypoints, polygons, polylines
• Model-assisted labeling with pre-labels, Superpixel 2.0, Autosegment, and integration with Segment Anything Model (SAM)
• ML-powered object tracking and smart cuboid propagation across sequences
• Real-time keyframe interpolation for smooth label transitions
• Merged 3D mode for enhanced accuracy on static objects
• Full 3D rotation of cuboids across all three axes
• Sensor fusion with synchronized camera views and calibration overlays
• Unlimited size point cloud uploads with backend optimization via 3D tiles
• Customizable hotkeys to accelerate labeling workflows
• Dataset search with syntax support for name, metadata, and label content
• Export to multiple ML frameworks: PyTorch, TensorFlow, Hugging Face, COCO-instance, COCO-panoptic, YOLO Darknet, grayscale/colored PNGs, polygon conversions
• Python SDK and API for automation and integration
• Cloud bucket integrations and webhooks for scalable data pipelines
• Active learning and QA management tools for improved data quality
• Dedicated labeling workforce and advisory services for enterprise and startups
• Custom interfaces, workflows, and security options for enterprise clients
• Priority support, metrics dashboards, and tailored dashboards for premium plans
• Continuous innovation with tools like automatic error highlighting

Pricing: segments.ai offers a 14-day free trial, a fully free academic license for non-commercial research, and custom pricing for startups and enterprise clients. The Fusion and Enterprise plans provide advanced features, dedicated support, and scalable infrastructure.

Conclusion: segments.ai is a cutting-edge, scalable labeling solution that empowers robotics and automotive teams to build high-quality training data with unmatched precision and speed. Its intelligent automation, seamless multi-sensor integration, and strong academic and startup support make it a top-tier choice for advancing AI in complex real-world environments.