Dataset Versions
Versions
v1
2024-10-16 11:40am
Generated on Oct 16, 2024
832 Total Images
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Dataset Split
Train Set 94%
784Images
Valid Set 4%
32Images
Test Set 2%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
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 2px
Noise: Up to 0.18% of pixels