Kaitlyn Fichtner

Lab Trash V2.0

Object Detection

Lab Trash V2.0 Image Dataset

v6

resized640_aug5x

Generated on Dec 22, 2022

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Dataset Split

Train Set 88%
2205Images
Valid Set 4%
96Images
Test Set 8%
213Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1px
Cutout: 7 boxes with 3% size each