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set9

Instance Segmentation

set9 Image Dataset

Versions
2024-02-02 11:40am
v1
Feb 2, 2024
v1

2024-02-02 11:40am

Generated on Feb 2, 2024
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300 Total Images

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Dataset Split

Train Set 100%
300Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels