Datasets:

evan6007
/

Innodisk_PCB_datasets

pretty_name: Innodisk PCB Image Dataset
license: cc-by-nc-4.0
tags:
  - image-classification
  - pcb
  - defect-detection
  - innodisk
  - small-sample-learning
configs:
  - name: default
    data_files:
      train:
        - train_20_20/*.jpg
        - train_20_20_R/*.jpg
        - train_40_20/*.jpg
        - train_40_20_R/*.jpg
        - train_60_20/*.jpg
        - train_80_20/*.jpg
        - train_100_20/*.jpg
      test:
        - test/*.jpg
        - test_R/*.jpg
        - test_canny/*.jpg
        - test_R_canny/*.jpg
      val:
        - val/*.jpg
        - val_R/*.jpg

🚀🔬 Innodisk PCB Image Dataset

The Innodisk PCB Image Dataset is a collaboration between Innodisk Corporation and Tamkang University.
Designed for research on printed‑circuit‑board (PCB) defect inspection and small‑sample learning. 🧑‍🔧💡

📂 Split	🖼️ Images	📁 Source directories
🏋️‍♂️ Train	500	7 `train_*` dirs
🧪 Test	240	4 `test*` dirs
📝 Val	30	2 `val*` dirs

🎯 Resolutions vary; the modal size is 188 × 128 px.

🔖 Filenames embed pseudo‑labels: pass (=acceptable) or ng (=defective).

🗂️ Folder layout

Innodisk_PCB_datasets/
├── train_20_20/      # 🏋️‍♂️
├── train_20_20_R/
├── train_40_20/
├── train_40_20_R/
├── train_60_20/
├── train_80_20/
├── train_100_20/
├── test/             # 🧪
├── test_R/
├── test_canny/
├── test_R_canny/
├── val/              # 📝
└── val_R/

⚡ Quick start

from datasets import load_dataset

# 🔄 Load images
ds_train = load_dataset("evan6007/Innodisk_PCB_datasets", split="train")

# 🏷️  Derive labels from filenames
def add_label(example):
    fname = example["image"].filename.lower()
    example["label"] = 0 if "ng" in fname else 1  # 0 = defective, 1 = acceptable
    return example

ds_train = ds_train.map(add_label)

🏭 Image sources & preprocessing

📷 AOI line cameras – raw production images (train_*, test*, val*).
✂️ ROI versions (*_R) – cropped component regions to reduce background noise.
🖊️ Canny edge maps (*_canny) – generated with cv2.Canny(img, 50, 150).

📜 License

Released under Creative Commons Attribution‑NonCommercial 4.0 (CC BY‑NC‑4.0).
Commercial applications require prior approval from Innodisk Corporation.

📚 Citation

@dataset{innodisk_pcb_2025,
  author = {Innodisk Corporation and Hsiao, Chao-Hsiang},
  title  = {Innodisk PCB Image Dataset},
  year   = {2025},
  url    = {https://huggingface.co/datasets/evan6007/Innodisk_PCB_datasets},
  note   = {CC BY-NC 4.0}
}