Dataset Versions
v2
2023-11-24 2:46am
Generated on Nov 23, 2023
996 Total Images
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Dataset Split
Train Set 88%
873Images
Valid Set 8%
82Images
Test Set 4%
41Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels