Dataset Versions

v1

makar-aug

Generated on Oct 14, 2023

Dataset Split

Train Set 100%
843Images
Valid Set %
0Images
Test Set %
0Images

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, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -7% and +7%
Brightness: Between -14% and +14%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 2% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down