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[Kaggle Dataset] Motherboard production defect dataset for object detection. Currently available for YOLOv5, YOLOv7, YOLOv8 & CLIP. Also available on Kaggle.

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Motherboard Production Defect Dataset

This repo contains a dataset of motherboard production defects for object detection models, this is currently the biggest public dataset on motherboard defects (as of Dec. 2022). This dataset is built for YOLOv5 (PyTorch), YOLOv7 (PyTorch), YOLOv8 and OpenAI CLIP.

Download links

YOLOv5-PyTorch (221.78MB)
YOLOv7-PyTorch (221.78MB)
YOLOv8 (222.62MB)
CLIP (232.3MB)

Sample Images

Some sample images from the dataset are available in the sample_images folder.

Dataset Stats

Num. of Images Num. of Annotations Num. of Classes Avg. Image Size Median Image Ratio
389 2860 11 1.10MP 1044x1074

Class Distribution

data_distribution

Citation

If you find this dataset useful in your project, please consider citing our work:

 @misc{yuelin xin_zihan zhou_yuxuan xia_jiuqiang li_qiyu ou_2023,
	title={Computer Motherboard Production Defects},
	url={https://www.kaggle.com/ds/2764127},
	DOI={10.34740/KAGGLE/DS/2764127},
	publisher={Kaggle},
	author={Yuelin Xin and Zihan Zhou and Yuxuan Xia and Jiuqiang Li and Qiyu Ou},
	year={2023}
}

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[Kaggle Dataset] Motherboard production defect dataset for object detection. Currently available for YOLOv5, YOLOv7, YOLOv8 & CLIP. Also available on Kaggle.

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