Welding Defect Detection Model (YOLOv8)
This is a fine-tuned YOLOv8 model for detecting welding defects such as:
- Good Weld
- Bad Weld
- Defect
Includes full training artifacts:
- Best model weights (
best.pt
) - Final model weights (
last.pt
) - Training logs
- Validation predictions
- Augmented training batches
Training Details
- Model Type: YOLOv8
- Dataset: The Welding Defect Dataset - v2
- Classes: 3
- Epochs: 100
- Image Size: 640x640
- Batch Size: 16
Usage
from ultralytics import YOLO
model = YOLO("YOUR_HF_USERNAME/welding-defect-yolov8-full-training")
results = model("image.jpg")
results[0].show()
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