Dataset Versions
v4
2024-04-09 11:12am
Generated on Apr 9, 2024
404 Total Images
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Dataset Split
Train Set 92%
372Images
Valid Set 8%
32Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -23% and +23%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%