rltjr/metal-surface-defect-yolo11s-seg
Image Segmentation • Updated • 24
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3 0.46875 0.01171875 0.470703125 0.013671875 0.48828125 0.013671875 0.5 0.017578125 0.515625 0.02734375 0.53125 0.046875 0.546875 0.048828125 0.564453125 0.056640625 0.568359375 0.056640625 0.583984375 0.046875 0.59765625 0.04296875 0.626953125 0.04296875 0.62890625 0.044921875 0.634765625 0.044921875 0.6484375 0.05078... |
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5 0.50390625 0.52734375 0.50390625 0.54296875 0.556640625 0.5703125 0.583984375 0.62890625 0.62109375 0.662109375 0.662109375 0.666015625 0.6796875 0.66015625 0.70703125 0.6328125 0.72265625 0.630859375 0.7578125 0.6015625 0.7734375 0.6015625 0.78515625 0.623046875 0.79296875 0.623046875 0.798828125 0.609375 0.79296875... |
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5 0.53125 0.5 0.529296875 0.51171875 0.5390625 0.509765625 0.560546875 0.529296875 0.572265625 0.60546875 0.607421875 0.654296875 0.625 0.6640625 0.654296875 0.671875 0.701171875 0.650390625 0.708984375 0.63671875 0.7890625 0.576171875 0.78125 0.537109375 0.7578125 0.50390625 0.720703125 0.47265625 0.68359375 0.4570312... |
3 0.00390625 0.48046875 0.005859375 0.60546875 0.025390625 0.6875 0.060546875 0.763671875 0.12890625 0.859375 0.19921875 0.916015625 0.28125 0.95703125 0.380859375 0.986328125 0.435546875 0.994140625 0.591796875 0.98828125 0.72265625 0.953125 0.794921875 0.9140625 0.87890625 0.84375 0.947265625 0.747767578125 0.8984375... |
5 0.513671875 0.5078125 0.505859375 0.529296875 0.509765625 0.537109375 0.56640625 0.611328125 0.578125 0.638671875 0.599609375 0.6484375 0.609375 0.671875 0.638671875 0.66796875 0.654296875 0.681640625 0.685546875 0.66015625 0.69921875 0.662109375 0.75390625 0.619140625 0.7578125 0.599609375 0.779296875 0.599609375 0.... |
3 0.005859375 0.47265625 0.00390625 0.56640625 0.01171875 0.646484375 0.056640625 0.7578125 0.10546875 0.830078125 0.140625 0.87109375 0.1953125 0.9140625 0.271484375 0.953125 0.390625 0.98828125 0.4921875 0.99609375 0.595703125 0.986328125 0.71484375 0.955078125 0.79296875 0.9140625 0.861328125 0.857421875 0.927734375... |
4 0.765625 0.11328125 0.779296875 0.111328125 0.78515625 0.1171875 0.7890625 0.12890625 0.7890625 0.138671875 0.798828125 0.169921875 0.798828125 0.181640625 0.794921875 0.1875 0.78125 0.189453125 0.775390625 0.18359375 0.7734375 0.171875 0.76953125 0.1640625 0.76953125 0.154296875 0.765625 0.146484375 0.763671875 0.13... |
4 0.744140625 0.13671875 0.748046875 0.138671875 0.75390625 0.150390625 0.75390625 0.16015625 0.751953125 0.162109375 0.751953125 0.169921875 0.75390625 0.171875 0.75390625 0.220703125 0.7578125 0.234375 0.759765625 0.26171875 0.751953125 0.26953125 0.7421875 0.26953125 0.736328125 0.263671875 0.734375 0.259765625 0.73... |
4 0.947265625 0.279296875 0.951171875 0.287109375 0.951171875 0.296875 0.95703125 0.298828125 0.962890625 0.306640625 0.962890625 0.32421875 0.96484375 0.326171875 0.96484375 0.337890625 0.966796875 0.33984375 0.96484375 0.3515625 0.958984375 0.357421875 0.94921875 0.357421875 0.947265625 0.359375 0.94921875 0.36132812... |
1 0.044921875 0.666015625 0.04296875 0.6875 0.078125 0.76171875 0.10546875 0.806640625 0.154296875 0.861328125 0.189453125 0.892578125 0.26171875 0.9375 0.328125 0.95703125 0.1953125 0.876953125 0.15234375 0.83984375 0.099609375 0.77734375 |
4 0.779296875 0.109375 0.787109375 0.1171875 0.79296875 0.13671875 0.79296875 0.1484375 0.796875 0.15625 0.796875 0.1640625 0.791015625 0.171875 0.779296875 0.171875 0.775390625 0.16796875 0.771484375 0.158203125 0.771484375 0.146484375 0.763671875 0.125 0.763671875 0.1171875 0.771484375 0.109375 0.77734375 0.109375 |
4 0.74609375 0.146484375 0.751953125 0.154296875 0.751953125 0.173828125 0.755859375 0.1796875 0.759765625 0.22265625 0.763671875 0.234375 0.763671875 0.2421875 0.755859375 0.25 0.74609375 0.25 0.73828125 0.2421875 0.73828125 0.216796875 0.734375 0.212890625 0.732421875 0.185546875 0.728515625 0.177734375 0.728515625 0... |
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0 0.17578125 0.380859375 0.189453125 0.38671875 0.19921875 0.396484375 0.20703125 0.4140625 0.20703125 0.427734375 0.201171875 0.443359375 0.189453125 0.455078125 0.177734375 0.4609375 0.154296875 0.4609375 0.142578125 0.455078125 0.130859375 0.443359375 0.125 0.427734375 0.125 0.4140625 0.12890625 0.40234375 0.1425781... |
3 0.5078125 0.013671875 0.509765625 0.015625 0.537109375 0.015625 0.5390625 0.017578125 0.564453125 0.017578125 0.56640625 0.015625 0.587890625 0.013671875 0.599609375 0.021484375 0.62109375 0.025390625 0.6328125 0.033203125 0.625 0.044921875 0.611328125 0.052734375 0.60546875 0.0546875 0.580078125 0.0546875 0.55859375... |
3 0.546875 0.056640625 0.556640625 0.06640625 0.572265625 0.06640625 0.591796875 0.078125 0.611328125 0.083984375 0.625 0.091796875 0.62890625 0.091796875 0.63671875 0.09765625 0.642578125 0.095703125 0.63671875 0.0859375 0.63671875 0.07421875 0.64453125 0.0625 0.654296875 0.05859375 0.66015625 0.05859375 0.677734375 0... |
3 0.396484375 0.384765625 0.404296875 0.388671875 0.41015625 0.388671875 0.42578125 0.3984375 0.46484375 0.412109375 0.474609375 0.419921875 0.478515625 0.4296875 0.4765625 0.44140625 0.47265625 0.44921875 0.458984375 0.458984375 0.44140625 0.45703125 0.43359375 0.451171875 0.408203125 0.4453125 0.3828125 0.43359375 0.... |
3 0.552734375 0.396484375 0.576171875 0.421875 0.576171875 0.439453125 0.57421875 0.443359375 0.56640625 0.451171875 0.5625 0.451171875 0.556640625 0.455078125 0.583984375 0.474609375 0.59765625 0.462890625 0.59765625 0.453125 0.591796875 0.443359375 0.59375 0.4296875 0.6015625 0.421875 0.609375 0.41796875 0.619140625 ... |
3 0.10546875 0.404296875 0.107421875 0.40625 0.119140625 0.40625 0.130859375 0.412109375 0.13671875 0.41796875 0.1484375 0.421875 0.154296875 0.427734375 0.1953125 0.4375 0.208984375 0.4453125 0.244140625 0.45703125 0.248046875 0.4609375 0.2578125 0.462890625 0.267578125 0.470703125 0.2734375 0.470703125 0.287109375 0.... |
0 0.18359375 0.384765625 0.193359375 0.390625 0.203125 0.404296875 0.205078125 0.41015625 0.205078125 0.4296875 0.201171875 0.439453125 0.193359375 0.44921875 0.1796875 0.45703125 0.171875 0.45703125 0.169921875 0.458984375 0.150390625 0.455078125 0.134765625 0.44140625 0.12890625 0.42578125 0.12890625 0.4140625 0.1347... |
3 0.48046875 0.00390625 0.490234375 0.01171875 0.580078125 0.013671875 0.587890625 0.017578125 0.599609375 0.017578125 0.603515625 0.01953125 0.61328125 0.03125 0.62109375 0.033203125 0.62890625 0.044921875 0.626953125 0.060546875 0.619140625 0.068359375 0.607421875 0.072265625 0.619140625 0.087890625 0.62109375 0.0937... |
3 0.37890625 0.24609375 0.380859375 0.248046875 0.39453125 0.25 0.41015625 0.26171875 0.423828125 0.265625 0.43359375 0.275390625 0.43359375 0.28125 0.44140625 0.291015625 0.455078125 0.294921875 0.462890625 0.28125 0.470703125 0.27734375 0.484375 0.27734375 0.509765625 0.291015625 0.51953125 0.302734375 0.53515625 0.3... |
3 0.822265625 0.431640625 0.833984375 0.435546875 0.849609375 0.447265625 0.85546875 0.44140625 0.865234375 0.4375 0.884765625 0.439453125 0.8984375 0.451171875 0.900390625 0.45703125 0.912109375 0.47265625 0.9296875 0.470703125 0.939453125 0.474609375 0.966796875 0.505859375 0.966796875 0.509765625 0.970703125 0.51367... |
3 0.84765625 0.65625 0.857421875 0.662109375 0.873046875 0.677734375 0.876953125 0.685546875 0.87890625 0.701171875 0.888671875 0.7109375 0.8984375 0.728515625 0.8984375 0.75 0.89453125 0.7578125 0.87890625 0.771484375 0.873046875 0.7890625 0.833984375 0.82421875 0.826171875 0.83984375 0.8125 0.853515625 0.791015625 0.... |
0 0.169921875 0.380859375 0.189453125 0.388671875 0.197265625 0.396484375 0.205078125 0.416015625 0.203125 0.431640625 0.197265625 0.443359375 0.189453125 0.451171875 0.169921875 0.458984375 0.154296875 0.45703125 0.142578125 0.451171875 0.134765625 0.443359375 0.126953125 0.423828125 0.12890625 0.408203125 0.134765625... |
3 0.48046875 0.001953125 0.494140625 0.015625 0.513671875 0.017578125 0.515625 0.01953125 0.544921875 0.021484375 0.564453125 0.033203125 0.5859375 0.03515625 0.599609375 0.041015625 0.609375 0.052734375 0.609375 0.068359375 0.599609375 0.08203125 0.583984375 0.08984375 0.5703125 0.08984375 0.556640625 0.08203125 0.546... |
3 0.345703125 0.072265625 0.359375 0.078125 0.376953125 0.076171875 0.390625 0.08203125 0.39453125 0.0859375 0.400390625 0.0859375 0.41796875 0.09375 0.423828125 0.09375 0.439453125 0.099609375 0.455078125 0.109375 0.4609375 0.109375 0.4765625 0.1171875 0.5 0.12109375 0.509765625 0.12890625 0.529296875 0.134765625 0.55... |
3 0.677734375 0.08203125 0.701171875 0.095703125 0.72265625 0.09375 0.744140625 0.1015625 0.751953125 0.109375 0.759765625 0.11328125 0.79296875 0.146484375 0.798828125 0.1484375 0.80859375 0.15625 0.84765625 0.197265625 0.876953125 0.21875 0.904296875 0.248046875 0.9140625 0.26953125 0.92578125 0.283203125 0.939453125... |
3 0.490234375 0.23046875 0.51953125 0.240234375 0.5234375 0.244140625 0.52734375 0.244140625 0.537109375 0.25 0.54296875 0.255859375 0.546875 0.263671875 0.546875 0.27734375 0.537109375 0.291015625 0.52734375 0.294921875 0.509765625 0.29296875 0.49609375 0.28515625 0.46875 0.28515625 0.458984375 0.28125 0.453125 0.2753... |
3 0.419921875 0.279296875 0.435546875 0.28515625 0.443359375 0.28515625 0.4609375 0.29296875 0.48046875 0.296875 0.48828125 0.30078125 0.49609375 0.30859375 0.498046875 0.328125 0.494140625 0.3359375 0.482421875 0.345703125 0.48828125 0.3515625 0.4921875 0.361328125 0.490234375 0.373046875 0.48046875 0.384765625 0.4707... |
3 0.126953125 0.41796875 0.154296875 0.4375 0.16015625 0.439453125 0.16796875 0.439453125 0.177734375 0.443359375 0.205078125 0.443359375 0.20703125 0.4453125 0.21875 0.4453125 0.220703125 0.447265625 0.234375 0.447265625 0.25 0.453125 0.255859375 0.453125 0.30078125 0.482421875 0.365234375 0.4921875 0.37890625 0.49804... |
3 0.58984375 0.1640625 0.609375 0.1796875 0.623046875 0.1875 0.6328125 0.19921875 0.6328125 0.216796875 0.630859375 0.220703125 0.623046875 0.228515625 0.61328125 0.232421875 0.60546875 0.232421875 0.58984375 0.2265625 0.58203125 0.21875 0.568359375 0.2109375 0.560546875 0.208984375 0.55078125 0.197265625 0.548828125 0... |
0 0.181640625 0.384765625 0.19921875 0.3984375 0.205078125 0.412109375 0.205078125 0.431640625 0.19921875 0.443359375 0.189453125 0.453125 0.177734375 0.458984375 0.158203125 0.458984375 0.14453125 0.453125 0.130859375 0.435546875 0.12890625 0.4140625 0.134765625 0.400390625 0.146484375 0.388671875 0.16015625 0.3828125... |
3 0.00390625 0.396484375 0.005859375 0.5078125 0.021484375 0.615234375 0.044921875 0.689453125 0.080078125 0.751953125 0.140625 0.83203125 0.240234375 0.9140625 0.3125 0.94921875 0.3984375 0.97265625 0.486328125 0.98046875 0.546875 0.974609375 0.642578125 0.94921875 0.736328125 0.900390625 0.833984375 0.822265625 0.917... |
0 0.17578125 0.384765625 0.185546875 0.388671875 0.19921875 0.40234375 0.203125 0.41015625 0.205078125 0.42578125 0.19921875 0.443359375 0.1875 0.455078125 0.173828125 0.4609375 0.158203125 0.4609375 0.14453125 0.455078125 0.1328125 0.443359375 0.126953125 0.42578125 0.12890625 0.41015625 0.138671875 0.39453125 0.15625... |
3 0.83984375 0.236328125 0.85546875 0.2421875 0.875 0.2578125 0.8984375 0.283203125 0.90625 0.294921875 0.916015625 0.302734375 0.9296875 0.326171875 0.93359375 0.337890625 0.9453125 0.3515625 0.9453125 0.35546875 0.953125 0.3671875 0.953125 0.37109375 0.95703125 0.376953125 0.95703125 0.3828125 0.962890625 0.390625 0.... |
End of preview. Expand in Data Studio
금속 표면 결함 데이터셋 v1 — MSDD 정리본
원형 금속 가공 부품 표면 사진 1,495장(512×512)에 결함 6종이 폴리곤(세그멘테이션) 으로 라벨링된 YOLO 형식 데이터셋입니다.
공개 데이터셋 MSDD-Prompt-Learning 을 Normal 클래스 제거 + 부품 단위 재분할 해 정리했습니다.
이 데이터로 학습한 모델: rltjr/metal-surface-defect-yolo11s-seg
Cleaned re-split of the public MSDD-Prompt-Learning dataset: the full-part "Normal" outline class was removed (those images become empty-label normal images) and the data was re-split by part so captures of the same part stay in one split.
원본 대비 바뀐 점
| 항목 | 원본 | v1 |
|---|---|---|
| 분할 | train 240 / valid 85 / test 1,170 | train 1,195 / val 150 / test 150 |
| 분할 단위 | — | 부품 단위 (부품 299개 = 239 / 30 / 30). 부품 1개당 5방향 촬영(CAP2/3, CAP4 상하좌우)이 같은 분할에 들어감 |
Normal 클래스 |
부품 전체 윤곽 폴리곤 (이미지 면적의 약 98%) | 제거. Normal 만 있던 이미지는 빈 라벨 = 정상 이미지 244장 |
| 클래스 번호 | 7개 (Normal 포함) | 6개로 재번호 |
구조
images/{train,val,test}/*.jpg
labels/{train,val,test}/*.txt # YOLO 세그멘테이션: class x1 y1 x2 y2 ... (0~1). 빈 파일 = 정상
data.yaml # Ultralytics 학습 설정 (경로는 이 폴더 기준)
meta.csv # image, split, part, capture, verdict(OK/NG), n_defects
클래스와 개수 (인스턴스 수)
| id | 클래스 | 의미 | train | val | test |
|---|---|---|---|---|---|
| 0 | Dark Spot | 어두운 반점 | 537 | 75 | 77 |
| 1 | Fold | 접힘 | 296 | 40 | 38 |
| 2 | Oxidation | 산화 | 373 | 49 | 48 |
| 3 | Porosity | 기공 | 593 | 78 | 80 |
| 4 | Scratch | 스크래치 | 1,466 | 195 | 116 |
| 5 | Stain | 얼룩 | 255 | 35 | 25 |
| — | (정상 이미지) | 빈 라벨 | 183 | 36 | 25 |
사용법
from huggingface_hub import snapshot_download
from ultralytics import YOLO
local = snapshot_download("rltjr/metal-surface-defect-v1", repo_type="dataset")
YOLO("yolo11s-seg.pt").train(data=f"{local}/data.yaml", epochs=150, imgsz=512)
폴리곤 라벨이라 검출 모델(yolo11s.pt)로 학습해도 Ultralytics 가 자동으로 박스로 변환합니다.
특성과 주의점
meta.csv의 verdict(OK/NG)는 원본 파일명의 검사자 판정이며 결함 라벨과 다를 수 있습니다. OK 인데 결함 라벨이 있는 이미지가 많아, "결함이 있어도 허용 범위면 OK" 로 보입니다. 허용 기준(유형·크기 → OK/NG) 연구에 쓸 수 있습니다.- 결함 경계(특히 Scratch 와 가공 무늬)가 모호하게 그려진 라벨이 있습니다.
출처 · 라이선스
- 원본: Roboflow Universe — msdd / msdd-prompt-learning-qjz4o, version 9, CC BY 4.0
- 이 정리본도 CC BY 4.0 을 따르며, 사용 시 원본 출처를 함께 표기해 주세요.
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