Dataset Versions
v7
ver07
Generated on Jan 22, 2024
1896 Total Images
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Dataset Split
Train Set 82%
1560Images
Valid Set 9%
168Images
Test Set 9%
168Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -7° and +7°
Hue: Between -15° and +15°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%