Dataset Versions
v3
2024-05-01 4:03pm
Generated on May 1, 2024
4845 Total Images
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Dataset Split
Train Set 87%
4239Images
Valid Set 8%
404Images
Test Set 4%
202Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -50° and +50°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels