Dataset Versions
v6
2024-09-24 10:11am
Generated on Sep 24, 2024
1176 Total Images
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Dataset Split
Train Set 95%
1116Images
Valid Set 3%
40Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -16° and +16°
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Exposure: Between -13% and +13%
Blur: Up to 0.6px
Noise: Up to 2.59% of pixels
Mosaic: Applied