Dataset Versions

v1

2023-12-02 5:55pm

Generated on Dec 2, 2023

Dataset Split

Train Set 87%
348Images
Valid Set 8%
33Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -24° and +24°
Grayscale: Apply to 39% of images
Brightness: Between -54% and +54%
Noise: Up to 9% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -55% and +55%