Add YOLOv8 model, config, and data.yaml

best.pt

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 version https://git-lfs.github.com/spec/v1
-oid sha256:5b1fcb47d349c0a8eabcddd95f0423f2d5c34daa8fdcbd848f37bc8340840885
-size 5472787
+oid sha256:1c0e675942a1b9757e51ae0990997a30fae9b290ab64e9ed83891727fc9a628b
+size 5560915

config.json

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+{"model_type": "yolov8"}

data.yaml

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+# data.yaml for YOLOv8 training on your weld defects dataset
+
+# root dataset folder (adjust if different)
+path: ./weld-1
+
+train: train/images
+val: valid/images
+test: test/images   # comment out or remove if you don’t have a test split
+
+# number of classes
+nc: 6
+
+# class names (index → name)
+names:
+  0: Bad Welding
+  1: Crack
+  2: Excess Reinforcement
+  3: Good Welding
+  4: Porosity
+  5: Spatters