YOLO
The reference model family for real-time object detection.
YOLO (You Only Look Once) is a family of real-time object detection models, whose Ultralytics models (YOLOv8, YOLO11, YOLO26) cover detection, segmentation, pose estimation, classification and tracking. A model trains on a custom dataset in a few lines of Python and exports to ONNX, TensorRT, CoreML or TFLite. It's our choice for detecting or tracking objects on a video feed, including on Jetson or mobile.
What YOLO brings to your project.
Typical use cases: Detect, count and track objects on industrial, retail or drone video feeds.
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Detection, segmentation, pose, classification and tracking in one API.
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Custom-dataset training in a few lines of Python, pretrained models included.
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ONNX, TensorRT, CoreML and TFLite export: edge deployment on Jetson and mobile.
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Real-time on GPU and embedded alike; AGPL-3.0 or Ultralytics Enterprise license.
Entrust your project
to our experts.
Entrust your project to our
experts.
Entrust your project
to our experts.
Our experts build your project, delivering superior technical and functional quality within shorter timeframes.
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They trust
us.
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A project with YOLO?
Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.
- Reply within 24 hours from a project manager
or engineer.Reply within 24 hours from a project manager or engineer. - Technical scoping and quote, with no fees.
- No commitment, your data stays
confidential.No commitment, your data stays confidential.
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Free scoping & estimate in less than 24h
Describe your project and we'll get back to you with a costed estimate and a roadmap.