Dataset Versions
Versions
v1
segment_V1
Generated on Dec 26, 2024
10360 Total Images
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Dataset Split
Train Set 92%
9564Images
Valid Set 4%
440Images
Test Set 3%
356Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -11° and +11°
Shear: ±11° Horizontal, ±7° Vertical
Hue: Between -19° and +19°
Saturation: Between -24% and +24%
Brightness: Between -20% and +20%
Blur: Up to 0.8px
Noise: Up to 0.06% of pixels