Dataset Versions

v4

2024-05-31 3:32pm

Generated on May 31, 2024

Dataset Split

Train Set 88%
708Images
Valid Set 8%
68Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels