Dataset Versions
Versions
v1
2024-09-02 11:06am
Generated on Sep 2, 2024
2870 Total Images
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Dataset Split
Train Set 83%
2391Images
Valid Set 10%
286Images
Test Set 7%
193Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels