CVAT

Open-source computer vision annotation platform originally developed by Intel, supporting image and video labeling for ML model training.

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What is CVAT?

CVAT (Computer Vision Annotation Tool) is an open-source, web-based annotation platform originally developed by Intel in 2017 and released as open source in 2018. In 2022, CVAT spun out into an independent company, CVAT.ai, headquartered in Wilmington, Delaware with an EU office in Paphos, Cyprus. The platform is designed for annotating images and videos to create training datasets for computer vision models, supporting annotation types including bounding boxes, polygons, keypoints, image classification, object detection, object tracking, image segmentation, pose estimation, and 3D data. CVAT offers a free Community edition for self-hosting, plus commercial CVAT Online and Enterprise editions with additional features and dedicated support. The platform is widely used by researchers and engineering teams for building computer vision machine learning pipelines.

Qualifications

For Data Annotation Specialist roles, expertise in data annotation workflows, an understanding of AI pipelines, and familiarity with the CVAT platform are beneficial. For technical roles such as Senior Python Developer, experience designing, developing, and documenting Python SDKs and APIs is required. Frontend Developer roles require proficiency in modern JavaScript frameworks. Copywriter positions need strong technical writing skills with an understanding of AI and computer vision concepts. No specific degree is universally required for annotation roles, but attention to detail and the ability to follow annotation guidelines accurately are essential. The company offers remote-worldwide positions as well as roles based in Cyprus. Experience with computer vision concepts (object detection, segmentation, tracking) is advantageous for all roles.