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Established in the year 1996, TriGeo Technologies has developed unmatched expertise in implementing path-breaking technologies to provide value added IT solutions.
TriGeo provides high-quality data validation and annotation services to mobility companies to develop with computer vision and machine learning models that reliably and safely power autonomous vehicles.
Our workforce at TriGeo are highly skilled at a variety of use cases from 3D bounding boxes to semantic segmentation to 3D point cloud annotation and sensor fusion systems. We put forward the best practices developed from annotating millions of images and videos to deliver best in class computer vision projects for AI leaders around the world.
3D Point Cloud Annotation is used to detect and visualize the objects that are labeled for more precise detection and classification for right dimensions and to track labels with ...
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2D bounding boxes are boxes drawn on an image, shape or text. 2D bounding boxes are drawn with ease to help annotate the object of interest in the images.
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In 3D Cuboid Annotation, 2D images and videos are taken to annotate with 3D models, enabling the computer to capture the precise dimensions of an objects to helps train ...
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In Semantic Segmentation each pixel of an image needs to be linked to a labeled image, for example a car, bike, traffic lights or pedestrian.
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Polygon Annotation is used to detect an object by its shape by drawing pixel perfect polygons. It helps detect objects like road signs, logos and various human poses.
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Polyline annotation is used to draw lines to identify the roads or streets to train the autonomous vehicle perception computer models.
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