Dataset Versions
v4
2024-07-16 7:02am
Generated on Jul 16, 2024
3 Total Images
View All Images
Dataset Split
Train Set 100%
3Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 13-90% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
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 -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 3.8px
Noise: Up to 1.96% of pixels