|
|
| --- |
| license: mit |
| task_categories: |
| - image-classification |
| tags: |
| - human-detection |
| - face-classification |
| - computer-vision |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Human vs Non-Human Face Dataset |
|
|
| A robust dataset for binary classification between real human faces and non-human face-like objects (statues, art, gaming, anime). |
|
|
| ## 📊 Dataset Statistics |
| | Split | Human | Non-Human | Total | |
| | :--- | :--- | :--- | :--- | |
| | **Train** | 3,024 | 2,949 | 5,973 | |
| | **Validation** | 864 | 842 | 1,706 | |
| | **Test** | 433 | 422 | 855 | |
| | **Total** | | | **8,534** | |
|
|
| ## 📁 Format |
| - Labels: `0: human`, `1: non_human`. |
|
|
| ## 🚀 Quick Start |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("8Opt/human-nonhuman-face-classification") |
| |
| # Access test set |
| example = ds['test'][0] |
| img, label = example['image'], example['label'] |
| img.show() |
| |
