face_recog Dataset

v2

2024-06-24 8:28pm

Generated on Jun 24, 2024

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Dataset Split

Train Set 88%
1458Images
Valid Set 8%
132Images
Test Set 4%
66Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Noise: Up to 1.45% of pixels
facess
1126 images
c
a
fdsaf
151 images
id-card-ccoconut-sg9d
1117 images
id-card-ccoconut
1117 images
a
a
a
296 images