Dataset Versions
v1
2024-06-30 3:44am
Generated on Jun 30, 2024
1447 Total Images
View All Images
Dataset Split
Train Set 94%
1365Images
Valid Set 4%
55Images
Test Set 2%
27Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±21° Horizontal, ±22° Vertical
Hue: Between -15° and +15°
Saturation: Between -0% and +0%
Exposure: Between -2% and +2%
Blur: Up to 0.9px
Noise: Up to 0.1% of pixels