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Segments.ai is now part of Uber. Joining Uber AI Solutions allows us to bring our multi-sensor annotation tools to more teams and larger datasets, helping accelerate the future of robotics and autonomous vehicles

Multi-sensor - point cloudMulti-sensor - image labeled

Trusted by computer vision engineers across robotics and AV companies

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Presentation

Overview presentation of Segments.ai
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Demo dataset - Multi-sensor

Overlay 3D point clouds with 2D images.
Project 3D cuboids to 2D bounding boxes across datasets.
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Demo dataset - 3D cuboid dataset

Overlay 3D point clouds with 2D images.
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Demo dataset - 3D segmentation dataset

Overlay 3D point clouds with 2D images.
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Demo dataset - 2D vector dataset

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Demo dataset - 2D segmentation

A dataset of sidewalk images gathered in Belgium in the summer of 2021. semantic-segmentation: The dataset can be used to train a semantic segmentation model, where each pixel is classified. The model performance is measured by how high its mean IoU (intersection over union) to the reference is.
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Demo dataset - Large point clouds

Sample data for the autonomous vehicle use case. Ouster ultra-wide view, mid-range, and long-range lidar sensors.
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