Dataset Versions
v2
2024-06-14 11:49am
Generated on Jun 14, 2024
980 Total Images
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Dataset Split
Train Set 88%
858Images
Valid Set 8%
82Images
Test Set 4%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%