Dataset Versions
Versions
v1
2023-11-16 5:04pm
Generated on Nov 16, 2023
8400 Total Images
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Dataset Split
Train Set 88%
7350Images
Valid Set 8%
700Images
Test Set 4%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels