Dataset Versions
v3
2024-11-21 5:59am
Generated on Nov 21, 2024
1920 Total Images
View All Images
Dataset Split
Train Set 88%
1680Images
Valid Set 9%
180Images
Test Set 3%
60Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 440x440
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels