Dataset Versions
v3
v3_augmented_2
Generated on Sep 29, 2023
2272 Total Images
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Dataset Split
Train Set 92%
2090Images
Valid Set 7%
169Images
Test Set 1%
13Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Tile: 2 rows x 2 columns
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Hue: Between -20° and +20°
Saturation: Between -35% and +35%
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 8% of pixels
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%