Dataset Versions
Versions
v1
2024-09-13 11:27am
Generated on Sep 13, 2024
3388 Total Images
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Dataset Split
Train Set 92%
3129Images
Valid Set 4%
132Images
Test Set 4%
127Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels