| --- |
| license: mit |
| task_categories: |
| - image-classification |
| tags: |
| - pcb |
| - component-classification |
| - electronics |
| - computer-vision |
| - random-forest |
| pretty_name: PCB Component Classifier Dataset |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # PCB Component Classifier Dataset |
|
|
| 1,120 individually photographed electronic components (resistors, capacitors, diodes, inductors, transistors, ICs), used to train an explainable Random-Forest classifier over 33 hand-engineered CV features. |
|
|
| Part of the [PCB Inspection Suite](https://huggingface.co/ParsaVictor/pcb-inspection-suite). Pipeline, training code, and results: [GitHub: pcb-component-classifier](https://github.com/ParsaVictor/pcb-component-classifier). |
|
|
| ## Classes and splits |
|
|
| | Split | Images | |
| |---|---| |
| | train | 1,000 | |
| | holdout | 120 (never used in training or tuning) | |
|
|
| | Class | Description | |
| |---|---| |
| | Resistors | | |
| | Capacitors | | |
| | Diodes | | |
| | Inductors | | |
| | Transistors | | |
| | ICs | | |
|
|
| ## Format |
|
|
| Flat folders of `<class>_<n>.png`, one component per image, packaged as two archives: |
|
|
| - `train.zip` |
| - `holdout.zip` |
|
|
| ## Quick start |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| import zipfile |
| |
| for split in ["train", "holdout"]: |
| zip_path = hf_hub_download( |
| repo_id="ParsaVictor/pcb-component-classifier", |
| repo_type="dataset", |
| filename=f"{split}.zip", |
| ) |
| with zipfile.ZipFile(zip_path) as zf: |
| zf.extractall(split) |
| ``` |
|
|
| ## Related |
|
|
| - Trained model: [pcb-component-classifier](https://huggingface.co/ParsaVictor/pcb-component-classifier) — 93.3% holdout accuracy, decision-path explanations |
| - Training code: [GitHub: pcb-component-classifier](https://github.com/ParsaVictor/pcb-component-classifier) |
| - Full suite overview: [pcb-inspection-suite](https://huggingface.co/ParsaVictor/pcb-inspection-suite) |
|
|
| ## License |
|
|
| MIT. |
|
|
