Dataset Versions
Versions
v1
2024-11-19 12:35pm
Generated on Nov 19, 2024
3325 Total Images
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Dataset Split
Train Set 88%
2925Images
Valid Set 8%
275Images
Test Set 4%
125Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 5 rows x 5 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels