Dataset Versions
v2
2024-10-29 3:04am
Generated on Oct 29, 2024
25881 Total Images
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Dataset Split
Train Set 94%
24437Images
Valid Set 4%
944Images
Test Set 2%
500Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 7
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 1.96% of pixels