3rdmc

10k

Object Detection

10k Image Dataset

v4

24k

Generated on Jan 3, 2023

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Dataset Split

Train Set 88%
21078Images
Valid Set 8%
1971Images
Test Set 4%
1003Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -21% and +21%
Brightness: Between -25% and +25%
Exposure: Between -16% and +16%
Blur: Up to 3px
Noise: Up to 3% of pixels
Cutout: 12 boxes with 2% size each

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