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--- |
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pretty_name: Innodisk PCB Image Dataset |
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license: cc-by-nc-4.0 |
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tags: |
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- image-classification |
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- pcb |
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- defect-detection |
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- innodisk |
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- small-sample-learning |
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configs: |
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- config_name: default |
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data_files: |
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- "train_20_20/*.jpg" |
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- "train_20_20_R/*.jpg" |
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- "train_40_20/*.jpg" |
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- "train_40_20_R/*.jpg" |
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- "train_60_20/*.jpg" |
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- "train_80_20/*.jpg" |
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- "train_100_20/*.jpg" |
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- "test/*.jpg" |
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- "test_R/*.jpg" |
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- "test_canny/*.jpg" |
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- "test_R_canny/*.jpg" |
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- "val/*.jpg" |
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- "val_R/*.jpg" |
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--- |
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# 🚀🔬 Innodisk PCB Image Dataset |
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The **Innodisk PCB Image Dataset** is a collaboration between **Innodisk Corporation** and Tamkang University. |
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Designed for research on **printed‑circuit‑board (PCB) defect inspection** and **small‑sample learning**. 🧑🔧💡 |
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| 📂 Split | 🖼️ Images | 📁 Source directories | |
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|----------|-----------|-----------------------| |
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| 🏋️♂️ Train | **500** | 7 `train_*` dirs | |
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| 🧪 Test | **240** | 4 `test*` dirs | |
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| 📝 Val | **30** | 2 `val*` dirs | |
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🎯 *Resolutions vary; the modal size is **188 × 128 px**.* |
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🔖 Filenames embed pseudo‑labels: **`pass`** (=acceptable) or **`ng`** (=defective). |
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--- |
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## 🗂️ Folder layout |
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``` |
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Innodisk_PCB_datasets/ |
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├── train_20_20/ # 🏋️♂️ |
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├── train_20_20_R/ |
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├── train_40_20/ |
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├── train_40_20_R/ |
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├── train_60_20/ |
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├── train_80_20/ |
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├── train_100_20/ |
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├── test/ # 🧪 |
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├── test_R/ |
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├── test_canny/ |
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├── test_R_canny/ |
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├── val/ # 📝 |
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└── val_R/ |
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``` |
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--- |
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## ⚡ Quick start |
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```python |
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from datasets import load_dataset |
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# 🔄 Load images |
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ds_train = load_dataset("evan6007/Innodisk_PCB_datasets", split="train") |
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# 🏷️ Derive labels from filenames |
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def add_label(example): |
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fname = example["image"].filename.lower() |
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example["label"] = 0 if "ng" in fname else 1 # 0 = defective, 1 = acceptable |
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return example |
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ds_train = ds_train.map(add_label) |
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``` |
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--- |
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## 🏭 Image sources & preprocessing |
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1. 📷 **AOI line cameras** – raw production images (`train_*`, `test*`, `val*`). |
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2. ✂️ **ROI versions** (`*_R`) – cropped component regions to reduce background noise. |
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3. 🖊️ **Canny edge maps** (`*_canny`) – generated with `cv2.Canny(img, 50, 150)`. |
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--- |
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## 📜 License |
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Released under **Creative Commons Attribution‑NonCommercial 4.0** (CC BY‑NC‑4.0). |
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Commercial applications require prior approval from Innodisk Corporation. |
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--- |
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## 📚 Citation |
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```bibtex |
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@dataset{innodisk_pcb_2025, |
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author = {{Innodisk Corporation} and {Su, Huan-Che} and {Hsiao, Chao-Hsiang}}, |
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title = {Innodisk PCB Image Dataset}, |
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year = {2025}, |
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url = {https://huggingface.co/datasets/evan6007/Innodisk_PCB_datasets}, |
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note = {CC BY-NC 4.0} |
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} |
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``` |
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