Dataset Versions
Versions
v1
2024-10-24 7:48pm
Generated on Oct 24, 2024
27 Total Images
View All Images
Dataset Split
Train Set 89%
24Images
Valid Set 11%
3Images
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, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 3.6px
Noise: Up to 1.96% of pixels