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CVAT helped me build an AI-powered inventory counting solution for warehouse operations. The annotation workflow was efficient, and it made it much easier to create high-quality training data for accurate object detection and counting.
Azure Data Engineer
We selected CVAT after evaluating several options and determined it was the best fit for our instance segmentation workflows. Features such as automatic bordering and bitmap visualization help us improve annotation quality while maintaining high productivity.
Ph.D. Candidate & Research Assistant
SIYTE is an AI-powered intelligence platform connecting cameras, sensors and systems with CVAT playing an instrumental role in supporting our data annotation and model training function. CVAT is a reliable and easy to use tool that genuinely supports how our teams build and refine computer vision models.
Chief Technology Officer
At Dragonfly AI we help brands measure creative effectiveness of marketing materials e.g. packaging, advertisements etc. using patented AI. CVAT helps us efficiently track attention-critical areas in video ads and feed structured annotation data into our proprietary attention measurement algorithm. The platform is straightforward, reliable, and fits naturally into our workflow.
Customer Success Executive
We began our AI journey with CVAT because, at the time, it was the only solution truly bridging the gap between raw data capture and practical model training workflows. Years later, it continues to be a foundational part of our pipeline thanks to its robustness, flexibility, and deep alignment with real-world computer vision development needs.
Business Development Manager
We chose CVAT for its strong balance of capability and cost control. It allows us to build and manage our annotation workflows without unnecessary overhead.
COO/CPO
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