Image Classification
ultralytics
TensorBoard
English
Tyre Quality
Tyre Classification
Image Classification
Machine Learning
Pytorch
Deep Learning
Computer Vision
Prediction
yolov8
yolo
TyreInspection
QualityControl
DefectDetection
AutomotiveAI
SafetyStandards
IndustrialAI
AIQualityAssessment
PredictiveMaintenance
AIModel
Eval Results (legacy)
Instructions to use foduucom/Tyre-Quality-Classification-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use foduucom/Tyre-Quality-Classification-AI 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("foduucom/Tyre-Quality-Classification-AI", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 7101c6f
Create README.md
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README.md
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---
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language:
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- en
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pipeline_tag: image-classification
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library_name: ultralytics
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library_version: 8.0.43
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tags:
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- Tyre Quality
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- Tyre Classification
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- Image Classification
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- Machine Learning
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- Pytorch
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- Deep Learning
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- Computer Vision
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- Prediction
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- yolov8
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- yolo
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---
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