Quentin liguori

cig_butts

Object Detection

cig_butts Image Dataset

v1

cigg_butts

Generated on Mar 16, 2022

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Dataset Split

Train Set 86%
51Images
Valid Set 8%
5Images
Test Set 5%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 75% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -82% and +82%
Brightness: Between -62% and +62%
Exposure: Between -32% and +32%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 9 boxes with 12% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -37% and +37%