Object Detection
ultralytics
English
computer-vision
yolov8
defect-detection
manufacturing
industrial-inspection
Instructions to use negi3961/factory-defect-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use negi3961/factory-defect-guard with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("negi3961/factory-defect-guard", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturebddc831 -
Update README.md
Verified signature2f05132
-
mAP 0.83 + MC Dropout V6_MC — upgrade from 0.796
Verified signaturefa4fed7 -
mAP 0.83 + MC Dropout — V6_MC best
Verified signature7dfcee5
-
V6 - mAP 0.796
Verified signature27166f3 -
V5 model - mAP 0.7477
Verified signature6bf9492
-
Upload best.pt
Verified signature97941b3 -
initial commit
Verified signature4998af8