Batch-1 Image Dataset
v6
2023-07-12 6:15pm
Generated on Jul 12, 2023
17782 Total Images
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Dataset Split
Train Set 98%
17355Images
Valid Set 2%
427Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±26° Vertical
Grayscale: Apply to 100% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -59% and +59%
Exposure: Between -25% and +25%
Blur: Up to 4.75px
Noise: Up to 11% of pixels
Cutout: 10 boxes with 19% size each
Mosaic: Applied
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