Welding Defect Detection Model (YOLOv8)

This is a fine-tuned YOLOv8 model for detecting welding defects such as:

  • good weld
  • bad weld
  • defect

Trained using Ultralytics YOLO on a custom dataset of welding images.

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")
results = model("image.jpg")
results[0].show()
Downloads last month
6
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support