Dataset Versions

v2

2024-06-12 12:54pm

Generated on Jun 12, 2024

Dataset Split

Train Set 88%
408Images
Valid Set 8%
39Images
Test Set 4%
19Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.85% of pixels