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README.md
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---
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license: agpl-3.0
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pipeline_tag: object-detection
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tags:
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- ultralytics
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- tracking
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- instance-segmentation
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- image-classification
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- pose-estimation
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- obb
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- object-detection
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- yolo
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- yolov8
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library_name: ultralytics
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model-index:
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- name: ultralytics/yolo11
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results:
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- task:
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type: object-detection
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dataset:
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type: merve/coco
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name: coco
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split: validation
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metrics:
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- type: precision # since [email protected]:0.95 is not available on hf.co/metrics
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value: 54.7
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name: [email protected]:0.95
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---
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---
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[Ultralytics](https://www.ultralytics.com/) [YOLO12](https://github.com/ultralytics/ultralytics) is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLO11 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.
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This is an ONNX version of Ultralytics YOLO12 modified for the usage of WebNN.
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