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Segments.ai

Allows computer vision experts to label, train, and identify failure cases for multi-sensor data efficiently.

Made by Segments.ai

    What is Segments.ai?

    The Segments.ai platform empowers computer vision experts to accelerate their iterative workflow between data labeling, model training, and failure case discovery. It offers a versatile and self-serve solution for multi-sensor data annotation, providing intuitive labeling interfaces for images, videos, and 3D point clouds

    Highlights

    • Multi-sensor data annotation: Supports segmentation labels, vector labels, and more for images, videos, and 3D point clouds (lidar and RGBD)
    • Robust labeling capabilities: Semantic segmentation, instance segmentation, panoptic segmentation, bounding boxes, polygons, polylines, keypoints, 3D cuboids, and 3D keypoints
    • Streamlined video and point cloud labeling: Fast labeling with interpolation and ML assistance, merged 3D point cloud view, and batch mode
    • Flexible workflow integration: Python SDK, documentation, webhooks, cloud provider integration, and export options for popular ML frameworks
    • Workforce management: Onboard your own team or leverage Segments.ai's workforce partners, with tools to manage large-scale labeling and review

    Languages

    • English

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    Features

      • Turn predictions into ground truth

      • Implement active learning pipelines

      • Label images in no time

      • Integrate into existing workflows

      • Debug your data