Dataset Versions
v3
2024-06-10 12:53am
Generated on Jun 9, 2024
1174 Total Images
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Dataset Split
Train Set 85%
993Images
Valid Set 8%
99Images
Test Set 7%
82Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each