face-emotion-classification Computer Vision Dataset
Versions
449 Total Images
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Dataset Split
Train Set 87%
392Images
Valid Set 9%
38Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -19% and +19%