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README.md
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---
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library_name: ultralytics
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tags:
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- object-detection
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- yolov8
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- welding-defect
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- industrial-inspection
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---
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# Welding Defect Detection Model (YOLOv8)
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This is a fine-tuned YOLOv8 model for detecting welding defects such as:
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- good weld
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- bad weld
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- defect
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Trained using Ultralytics YOLO on a custom dataset of welding images.
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## Training Details
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- Model Type: YOLOv8
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- Dataset: The Welding Defect Dataset - v2
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- Classes: 3
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- Epochs: 100
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- Image Size: 640x640
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- Batch Size: 16
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## Usage
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```python
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from ultralytics import YOLO
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model = YOLO("YOUR_HF_USERNAME/welding-defect-yolov8")
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results = model("image.jpg")
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results[0].show()
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best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:92243d6d3b3c667f0dd8f2d2261d480c744912e97e1842e9b92dc9465de52c86
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size 22525283
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