Dataset Versions
v2
2024-02-12 11:49pm
Generated on Feb 12, 2024
18336 Total Images
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Dataset Split
Train Set 89%
16368Images
Valid Set 7%
1312Images
Test Set 4%
656Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%