Dataset Versions
v2
2024-05-22 3:46pm
Generated on May 22, 2024
3976 Total Images
View All Images
Dataset Split
Train Set 94%
3723Images
Valid Set 4%
178Images
Test Set 2%
75Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
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 1.2px
Noise: Up to 0.1% of pixels