Dataset Versions
Versions
v1
2023-05-06 7:20pm
Generated on May 6, 2023
10112 Total Images
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Dataset Split
Train Set 95%
9648Images
Valid Set 3%
308Images
Test Set 2%
156Images
Preprocessing
Auto-Orient: Applied
Static Crop: 39-78% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -47% and +47%
Exposure: Between -35% and +35%
Blur: Up to 2.5px
Noise: Up to 5% of pixels