Facial Emotion Recognition Computer Vision Dataset
21156 Total Images
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Dataset Split
Train Set 92%
19518Images
Valid Set %
0Images
Test Set 8%
1638Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%