Dataset Versions
Versions
v1
2024-07-20 6:06pm
Generated on Jul 20, 2024
8400 Total Images
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Dataset Split
Train Set 88%
7350Images
Valid Set 8%
700Images
Test Set 4%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 4.01% of pixels