Dataset Versions
Versions
v1
2024-10-23 11:53pm
Generated on Oct 23, 2024
6104 Total Images
View All Images
Dataset Split
Train Set 87%
5340Images
Valid Set 8%
508Images
Test Set 4%
256Images
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, 20% Maximum Zoom
Rotation: Between -9° and +9°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 0.1% of pixels