Dataset Versions
v2
2023-07-26 11:01am
Generated on Jul 26, 2023
3650 Total Images
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Dataset Split
Train Set 88%
3195Images
Valid Set 8%
303Images
Test Set 4%
152Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels