Dataset Versions
v4
2024-08-11 6:23am
Generated on Aug 11, 2024
1339 Total Images
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Dataset Split
Train Set 88%
1173Images
Valid Set 8%
111Images
Test Set 4%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels