Dataset Versions
v5
2024-10-19 6:44am
Generated on Oct 19, 2024
350 Total Images
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Dataset Split
Train Set 90%
314Images
Valid Set 8%
29Images
Test Set 2%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.61% of pixels