Dataset Versions
Versions
v5
512
Generated on May 13, 2024
5000 Total Images
View All Images
Dataset Split
Train Set 90%
4500Images
Valid Set 8%
400Images
Test Set 2%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 2px
Noise: Up to 0.5% of pixels