Dataset Versions
v3
2024-09-24 12:20am
Generated on Sep 24, 2024
349 Total Images
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Dataset Split
Train Set 88%
306Images
Valid Set 12%
43Images
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