Dataset Versions
v2
2024-05-26 9:50pm
Generated on May 27, 2024
15616 Total Images
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Dataset Split
Train Set 95%
14904Images
Valid Set 3%
472Images
Test Set 2%
240Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.92% of pixels