Ultralytics YOLO12 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.
YOLO12 is a versatile model that supports a wide range of core computer vision tasks. It excels in object detection, instance segmentation, image classification, pose estimation, and oriented object detection.
This is an ONNX version of Ultralytics YOLO12 modified for the usage of Transformers.js (WebNN backend).
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Evaluation results
- mAP@0.5:0.95 on cocovalidation set self-reported54.700