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yolov8s-layout-detection
nakamura196/yolov8s-layout-detection
yolov8s-layout-detection is a object detection model from nakamura196. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as cc-by-4.0.
All-time downloads
446
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Repo size
22.5 MB
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1
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- cc-by-4.0
- Model type
- v8
- Access
- Public
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024
- SHA
- ab3b07bb
Model card
From the Hugging Face model README
YOLOv8 model to detect layout of 寛政重修諸家譜
Inference
Supported Labels
["h1", "h2", "head", "long", "other", "page", "sode", "text", "vol"]
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()
- Task
- Object Detection
- Library
- ultralytics
- Type
- v8
- License
- cc-by-4.0
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024