| """Structure and format the 8,190-image dataset into standard Hugging Face Dataset format for CLI push. |
| |
| Outputs to `huggingface_dataset/`: |
| huggingface_dataset/ |
| ├── README.md # Dataset Card with YAML frontmatter metadata |
| ├── data.yaml # YOLO dataset configuration |
| ├── train/ # 5,733 images and .txt label pairs |
| │ ├── images/ |
| │ └── labels/ |
| ├── val/ # 1,228 images and .txt label pairs |
| │ ├── images/ |
| │ └── labels/ |
| └── test/ # 1,229 images and .txt label pairs |
| ├── images/ |
| └── labels/ |
| """ |
| from __future__ import annotations |
|
|
| import json |
| import shutil |
| from pathlib import Path |
|
|
| ROOT_DIR = Path(__file__).resolve().parent |
| SPLITS_DIR = ROOT_DIR / "splits" |
| HF_DATASET_DIR = ROOT_DIR / "huggingface_dataset" |
|
|
|
|
| def build_huggingface_dataset(): |
| if not SPLITS_DIR.exists(): |
| raise FileNotFoundError(f"Splits directory not found at {SPLITS_DIR}. Run 'python scraper.py split' first.") |
|
|
| print(f"Preparing Hugging Face dataset directory at {HF_DATASET_DIR}...") |
| if HF_DATASET_DIR.exists(): |
| shutil.rmtree(HF_DATASET_DIR) |
| HF_DATASET_DIR.mkdir(parents=True, exist_ok=True) |
|
|
| |
| for split_name in ["train", "val", "test"]: |
| src_split = SPLITS_DIR / split_name |
| dst_split = HF_DATASET_DIR / split_name |
| if src_split.exists(): |
| shutil.copytree(src_split, dst_split) |
|
|
| |
| shutil.copy2(SPLITS_DIR / "data.yaml", HF_DATASET_DIR / "data.yaml") |
|
|
| |
| readme_content = """--- |
| language: |
| - en |
| license: cc-by-4.0 |
| tags: |
| - computer-vision |
| - object-detection |
| - yolo |
| - ewaste |
| - pcb |
| - recycling |
| - hardware-fraud |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - object-detection |
| task_ids: |
| - bounding-box-object-detection |
| --- |
| |
| # 🔌 E-Waste PCB Component Purity & Cannibalization Dataset |
| |
| This dataset contains **8,190 normalized high-resolution PCB images** with fine-grained object detection bounding boxes designed for real-time edge AI cannibalization detection in e-waste recycling platforms. |
| |
| ## 📊 Dataset Splits |
| |
| | Split | Images & Bounding Box Pairs | Ratio | |
| | :--- | :--- | :--- | |
| | **Train** | **5,733 images** | $70\%$ | |
| | **Validation** | **1,228 images** | $15\%$ | |
| | **Test** | **1,229 images** | $15\%$ | |
| | **Total** | **8,190 images** | $100\%$ | |
| |
| --- |
| |
| ## 🏷️ 7 Fine-Grained Component Taxonomy |
| |
| | Class ID | Class Name | Description | |
| | :--- | :--- | :--- | |
| | `0` | `cpu_socket` | LGA, PGA, or ZIF processor socket footprints | |
| | `1` | `gold_finger` | Gold-plated edge connector contacts (PCIe, RAM contacts) | |
| | `2` | `ic_chip` | Packaged ICs and BGA microchips | |
| | `3` | `tantalum_capacitor` | SMD tantalum capacitors (molded yellow/black/orange) | |
| | `4` | `forcibly_desoldered_pad` | Exposed pads with jagged solder, blowtorch marks, torn traces (**fraud signal**) | |
| | `5` | `factory_unpopulated_pad` | Clean silkscreen outline with smooth solder dots left empty (**NOT fraud**) | |
| | `6` | `occluded_region` | Footprints obscured by heatsinks, metal shielding, or heavy dust | |
| |
| --- |
| |
| ## 💻 Usage with Ultralytics YOLOv8 |
| |
| ```python |
| from ultralytics import YOLO |
| |
| # Load pre-trained model backbone |
| model = YOLO("yolov8n.pt") |
| |
| # Fine-tune on Hugging Face dataset |
| model.train(data="data.yaml", epochs=50, imgsz=960, copy_paste=0.8, cls=2.5) |
| ``` |
| |
| ## ⚖️ License & Attribution |
| Released under **Creative Commons Attribution 4.0 International (CC BY 4.0)** for e-waste recycling research and component purity index assaying. |
| """ |
|
|
| (HF_DATASET_DIR / "README.md").write_text(readme_content, encoding="utf-8") |
| print(f"SUCCESS! Hugging Face dataset formatted and ready at:\n {HF_DATASET_DIR}") |
| print("\nYou can now push to Hugging Face Hub using HF CLI:\n cd huggingface_dataset\n huggingface-cli upload <your-hf-username>/<your-repo-name> . --repo-type=dataset") |
|
|
|
|
| if __name__ == "__main__": |
| build_huggingface_dataset() |
|
|
