Dataset Versions
Versions
v1
1
Generated on Jun 7, 2023
96 Total Images
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Dataset Split
Train Set 88%
84Images
Valid Set 13%
12Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -20° and +20°
Grayscale: Apply to 25% of images
Hue: 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