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SegAll

Instance Segmentation

SegAll Image Dataset

v6

2023-12-29 2:27pm

Generated on Dec 29, 2023

Dataset Split

Train Set 87%
1140Images
Valid Set 8%
105Images
Test Set 5%
66Images

Preprocessing

Resize: Fit (black edges) in 320x320

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels

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