Dataset Versions
v3
2025-01-07 3:20am
Generated on Jan 6, 2025
600 Total Images
View All Images
Dataset Split
Train Set 100%
600Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -24° and +24°
Saturation: Between -31% and +31%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 3.1px
Noise: Up to 0.7% of pixels