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README.md

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+
+---
+license: mit
+task_categories:
+- image-classification
+tags:
+- human-detection
+- computer-vision
+size_categories:
+- n<1K
+---
+
+# Human vs Non-Human Face Dataset
+
+This dataset is specifically curated for training binary classifiers to distinguish between real human faces and non-human faces (statues, art representations, etc.).
+
+## 📁 Structure
+The dataset follows the standard ImageFolder/YOLO classification format:
+- `train/`: Training images
+- `val/`: Validation images
+- `test/`: Testing images (851 samples)
+
+Classes: `human`, `non_human`
+
+## 📊 Summary
+- **Human samples**: 433 (test set)
+- **Non-human samples**: 418 (test set)
+- **Format**: JPG/PNG images resized/cropped to face regions.