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Segments.ai is for computer vision and machine learning teams in robotics and autonomous driving that need labeled training data across cameras and 3D sensors. It supports annotation of images, image sequences, 3D point clouds, and multi-sensor sequences, with tools for segmentation masks, bounding boxes, cuboids, polygons, polylines, and keypoints. For camera and LiDAR workflows, labelers can view 2D images alongside point clouds, project labels between them, and keep object tracks consistent across frames. Point-cloud tools include batch editing, merged views for static objects, and assisted tracking; image tools can help create segmentation masks. Teams can organize labeling and review work in shared datasets, then export completed labels. A Python SDK and API support dataset management and integration with machine-learning pipelines. The platform also supports cloud storage connections and webhooks, with exports for workflows including PyTorch, TensorFlow, and Hugging Face. It may suit teams building or evaluating computer-vision models; it is specialized for data annotation rather than general-purpose project management or model training.
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