Dataset Versions
v5
2024-11-22 9:09am
Generated on Nov 22, 2024
4121 Total Images
View All Images
Dataset Split
Train Set 88%
3609Images
Valid Set 8%
339Images
Test Set 4%
173Images
Preprocessing
Auto-Orient: Applied
Static Crop: 37-77% Horizontal Region, 57-96% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Crop: 7% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -14° and +14°
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%
Blur: Up to 3.3px
Noise: Up to 1.17% of pixels