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face_Recognition_Office

Object Detection

face_Recognition_Office Image Dataset

v16

2023-04-25 5:36pm

Generated on Apr 25, 2023

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Dataset Split

Train Set 94%
4917Images
Valid Set 3%
161Images
Test Set 3%
147Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±25° Horizontal, ±25° Vertical
Hue: Between -15° and +15°
Saturation: Between -14% and +14%
Brightness: Between -30% and +30%
Exposure: Between -16% and +16%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Shear: ±24° Horizontal, ±24° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 2% of pixels
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