Dataset Versions
Versions
v1
2024-10-30 5:17am
Generated on Oct 30, 2024
1440 Total Images
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Dataset Split
Train Set 88%
1260Images
Valid Set 8%
120Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-83% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 1.56% of pixels