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.
YOLOv5-PyTorch (221.78MB)
YOLOv7-PyTorch (221.78MB)
YOLOv8 (222.62MB)
CLIP (232.3MB)
Some sample images from the dataset are available in the sample_images folder.
| Num. of Images | Num. of Annotations | Num. of Classes | Avg. Image Size | Median Image Ratio |
|---|---|---|---|---|
| 389 | 2860 | 11 | 1.10MP | 1044x1074 |
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}
}