Dataset Versions
v1
2023-10-05 8:06pm
Generated on Oct 5, 2023
7316 Total Images
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Dataset Split
Train Set 93%
6801Images
Valid Set 6%
460Images
Test Set 1%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Shear: ±22° Horizontal, ±24° Vertical
Grayscale: Apply to 61% of images
Saturation: Between -43% and +43%
Brightness: Between -36% and +36%
Exposure: Between -30% and +30%
Blur: Up to 1.75px
Noise: Up to 7% of pixels
Mosaic: Applied