Dataset Versions
v3
2024-12-21 12:42pm
Generated on Dec 21, 2024
5148 Total Images
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Dataset Split
Train Set 93%
4780Images
Valid Set 4%
228Images
Test Set 3%
140Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require at least 61% of images to contain annotations.
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -12° and +12°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1.64% of pixels