metadata
license: agpl-3.0
pipeline_tag: object-detection
tags:
- ultralytics
- tracking
- instance-segmentation
- image-classification
- pose-estimation
- obb
- object-detection
- yolo
- yolov8
library_name: ultralytics
model-index:
- name: ultralytics/yolo11
results:
- task:
type: object-detection
dataset:
type: merve/coco
name: coco
split: validation
metrics:
- type: precision
value: 54.7
name: [email protected]:0.95
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. 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.
This is an ONNX version of Ultralytics YOLO12 modified for the usage of WebNN.