Computer Vision Expertise
From object recognition to 3-D point clouds, we bring a greater understanding to the visual world with detailed, accurate annotations.
Drawing a box around a target object in visual data. Bounding boxes can be 2-D or 3-D.
Plotting characteristics in the data, such as eyes and nose in an image used for facial recognition.
Using a more complex version of landmarking to annotate geometric features, straight lines, and their intersections to assemble 3-D structures within a scene.
Applying semantic or instance segmentation to conceal areas in an image and reveal other areas of interest. Image masking makes it easier to focus on certain areas of an image over other areas.
Drawing 3-D bounding boxes to annotate and/or measure many points on an external surface of an object. These typically are generated using 3-D laser scanners, RADAR sensors, and LiDAR sensors.
Outlining the highest vertices, or points, of the target object to reveal its edges. Polygons are used when objects are irregular in shape, such as homes, areas of land, or topographical details.
Plotting lines composed of one or more segments when working with open shapes, such as road lane markers, sidewalks, or power lines.
Identifying and tracking an object’s movement across more than one frame of video.
Capturing the text that occurs in images or video so it may be labeled.