Experiments

Model-1

Object Detection

Model-1 Image Dataset

v2

2023-05-09 3:39pm

Generated on May 9, 2023

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Dataset Split

Train Set 87%
4692Images
Valid Set 8%
447Images
Test Set 4%
225Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Objects-Face-detection
3323 images
Model-Detection
3085 images
Objects-Face-detection
2962 images