metadata
tags:
- ultralyticsplus
- yolov8
- ultralytics
library_name: ultralytics
library_version: 8.0.43
license: cc-by-4.0
model-index:
- name: nakamura196/yolov8m-wavy-line-detection
results:
- task:
type: object-detection
metrics:
- type: precision
value: 0.566
name: mAP50-95(B)
- type: precision
value: 0.925
name: mAP50(B)
pipeline_tag: object-detection
YOLOv8 model to detect wavy lines in images
Inference
Supported Labels
["line"]
How to use
pip install ultralyticsplus
from ultralyticsplus import YOLO, render_result
# load model
model = YOLO('best.pt')
# set image
image = "https://dl.ndl.go.jp/api/iiif/1879314/R0000039/full/640,640/0/default.jpg"
# perform inference
results = model.predict(image, verbose=False)
# observe results
render = render_result(model=model, image=image, result=results[0])
render.show()