Datasets:
metadata
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
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()