Dataset Versions

v8

2024-06-09 10:16pm

Generated on Jun 9, 2024

Dataset Split

Train Set 92%
7595Images
Valid Set 4%
308Images
Test Set 5%
392Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 0.81% of pixels