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