Dataset Versions

v2

2022-12-12 11:42am

Generated on Dec 12, 2022

Dataset Split

Train Set 86%
147Images
Valid Set 9%
15Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -31% and +31%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°