rail_big Image Dataset
v5
2024-03-27 2:58pm
Generated on Mar 27, 2024
828 Total Images
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Dataset Split
Train Set 88%
729Images
Valid Set 8%
63Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
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 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
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