STUFF

GOODS

Object Detection

GOODS Image Dataset

v1

2024-01-03 10:39pm

Generated on Jan 3, 2024

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Dataset Split

Train Set 88%
249Images
Valid Set 8%
23Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

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 -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Mosaic: Applied