Dataset Versions
v1
2024-11-27 8:31pm
Generated on Nov 27, 2024
395 Total Images
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Dataset Split
Train Set 87%
345Images
Valid Set 8%
33Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -6% and +6%
Exposure: Between -5% and +5%
Blur: Up to 0.6px
Noise: Up to 0.57% of pixels