Industry challenge

Computer vision data needs

Computer vision teams need labeled image, video and LiDAR data at scale for detection, segmentation and tracking models.

Problem

Vision models require large volumes of consistently labeled image and video assets.

Label types

Bounding boxes, polygons, polylines, keypoints and segmentation masks.

3D

LiDAR and point-cloud annotation for autonomous and spatial systems.

Relevant datasets

Computer vision datasets

Relevant services

Services for computer vision

Image annotation

Bounding box, polygon, keypoint and segmentation labeling.

Video annotation

Frame-level and temporal labeling for action and tracking models.

LiDAR & 3D

Cuboid and point-cloud annotation for autonomous systems.

Multi-level QA

Annotator, reviewer and senior QA with secure delivery.

Use cases

Computer vision use cases

Discuss your computer vision requirement

Describe your label taxonomy, modality and volume requirements.

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