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defect-vision-yolov8-bottle
Chasston/defect-vision-yolov8-bottle
defect-vision-yolov8-bottle is a object detection model from Chasston. Use it when you need objects located in an image.
YOLOv8n fine-tuned on MVTec AD dataset for industrial defect detection.
Access
Public
Updated Mar 10, 2026
Repo size
6.5 MB
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0
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Repo makeup
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.pt6.2 MB · 96%
At a glance
- Task
- Object Detection
- Access
- Public
- Created
- Mar 10, 2026
- Updated
- Mar 10, 2026
- SHA
- c59853a3
Datasets
Model card
From the Hugging Face model README
DefectVision — YOLOv8 Defect Detection (bottle)
YOLOv8n fine-tuned on MVTec AD dataset for industrial defect detection.
Category : bottle
- Defect types : broken_large, broken_small, contamination
- Classes : 1 (defect)
- Image size : 640x640
Metrics (test set)
- mAP50 : 0.0933
- mAP50-95 : 0.0305
- Precision : 0.0028
- Recall : 0.8095
Usage
from ultralytics import YOLO
from huggingface_hub import hf_hub_download
path = hf_hub_download(repo_id='Chasston/defect-vision-yolov8-bottle', filename='best.pt')
model = YOLO(path)
results = model.predict('your_image.png', conf=0.25)
Author
- Task
- Object Detection
- Created
- Mar 10, 2026
- Updated
- Mar 10, 2026