Dataset Versions
v3
2024-07-01 6:41pm
Generated on Jul 1, 2024
205 Total Images
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Dataset Split
Train Set 88%
180Images
Valid Set 8%
17Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±13° Horizontal, ±13° Vertical
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%