Dataset Versions
v4
2024-09-30 2:47am
Generated on Sep 30, 2024
858 Total Images
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Dataset Split
Train Set 87%
750Images
Valid Set 13%
108Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 4% of images
Saturation: Between -25% and +25%
Brightness: Between -4% and +4%
Exposure: Between -5% and +5%
Noise: Up to 0.1% of pixels