defect-detection
Cosmetic_Defect_Detectiondeepseek-ai-deepseek-coder-1.3b-base-finetuned-defect-cwe-group-detectioncodebert2codebert-finetuned-code-defect-detectionbigcode-starcoderbase-1b-finetuned-defect-detectionmicrosoft-codebert-base-finetuned-defect-detectionpcb-defect-detectiondeepseek-ai-deepseek-coder-1.3b-base-finetuned-defect-detectionpcb-defect-detection
code_x_glue_cc_defect_detection
Dataset Card for "code_x_glue_cc_defect_detection"
Dataset Summary
CodeXGLUE Defect-detection dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Defect-detection
Given a source code, the task is to identify whether it is an insecure code that may attack software systems, such as resource leaks, use-after-free vulnerabilities and DoS attack. We treat the task as binary classification (0/1), where 1 stands for insecure code and 0 for secure… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_cc_defect_detection.welding-defect-object-detection
Welding Defect Object Detection
2,028 annotated images of welds for defect detection, in both YOLO and COCO
formats. Three classes:
id (YOLO / COCO)
name
0 / 1
Bad Weld
1 / 2
Good Weld
2 / 3
Defect
Splits
split
images
annotations
train
1,619
4,583
valid
283
802
test
126
301
Layout
├── data.yaml # YOLO class names + split paths
├── train|valid|test/
│ ├── images/ # .jpg
│ └── labels/… See the full description on the dataset page: https://huggingface.co/datasets/rikkarth/welding-defect-object-detection.blade-defect-detection
Blade Defect Detection Dataset (notch / crack / ablation)
A YOLO-format object detection dataset for blade surface defect detection, covering
three defect types: notch, crack, and ablation.
Dataset Structure
├── anomaly.yaml # Ultralytics YOLO dataset config (relative paths)
├── train/ # images + labels
├── val/ # images + labels
└── test/ # images + labels
anomaly.yaml uses relative paths — training can be launched directly from… See the full description on the dataset page: https://huggingface.co/datasets/hahahang2/blade-defect-detection.dagm_defect_detection_textured_surfacesnut_defect_detection
Nut Defect Classification
Synthetic Industrial Quality Inspection Dataset
Nut Defect Classification (Synthetic Dataset)
This dataset is a synthetic collection of industrial nut images designed for image classification tasks, specifically focusing on defect detection in manufacturing pipelines. It serves as a benchmark and training resource for computer vision algorithms used in quality assurance.… See the full description on the dataset page: https://huggingface.co/datasets/Kinzaaa/nut_defect_detection.welding-defect-object-detection
Welding Defect Object Detection
2,028 annotated images of welds for defect detection, in both YOLO and COCO
formats. Three classes:
id (YOLO / COCO)
name
0 / 1
Bad Weld
1 / 2
Good Weld
2 / 3
Defect
Splits
split
images
annotations
train
1,619
4,583
valid
283
802
test
126
301
Layout
├── data.yaml # YOLO class names + split paths
├── train|valid|test/
│ ├── images/ # .jpg
│ └── labels/… See the full description on the dataset page: https://huggingface.co/datasets/l985215117/welding-defect-object-detection.
