Dataset Versions
v6
2024-11-21 10:24pm
Generated on Nov 21, 2024
153 Total Images
View All Images
Dataset Split
Train Set 100%
153Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 4% of images
Hue: Between -19° and +19°
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.1px
Noise: Up to 1.96% of pixels
Cutout: 9 boxes with 6% size each
Mosaic: Applied