Computer Vision Services

Scale your image and video annotation with expertly-trained and professionally-managed data annotators.

Expertise and quality for any computer vision use case

Training machines to interpret and understand the visual world requires a high volume of accurately labeled training data. Sure, you could toss your labeling project to an unknown crowd, an inflexible outsourcer, or a faceless platform API. But your project and training data needs are unique. We can help.

From bounding boxes and object tracking to semantic segmentation and keypoint annotation, our skilled data analysts apply best practices developed from annotating millions of images and videos to deliver best-in-class data labeling for computer vision leaders around the world.

Bounding Box
Landmarking
Wireframe
Masking
3-D Cuboid
Polygon
Polyline
Object Tracking
Transcription

Bounding Box

Drawing a box around a target object in visual data. Bounding boxes can be 2-D or 3-D.

Landmarking

Plotting characteristics in the data, such as eyes and nose in an image used for facial recognition.

Landmarking - Annotation

Wireframe

Using a more complex version of landmarking to annotate geometric features, straight lines, and their intersections to assemble 3-D structures within a scene.

image-wireframe

Masking

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.

3-D Cuboid

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.

point-cloud-annotated-computer-vision-medium-thumbnail

Polygon

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.

polygone