Dataset Versions
v2
2024-04-29 3:14pm
Generated on Apr 29, 2024
49 Total Images
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Dataset Split
Train Set 86%
42Images
Valid Set 10%
5Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -128° and +128°
Exposure: Between -24% and +24%
Blur: Up to 2.5px
Mosaic: Applied
Bounding Box: Brightness: Between -15% and +15%