Dataset Versions
v2
2024-11-29 5:27am
Generated on Nov 29, 2024
114 Total Images
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Dataset Split
Train Set 95%
108Images
Valid Set %
0Images
Test Set 5%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -27% and +27%
Exposure: Between -13% and +13%
Noise: Up to 0.1% of pixels