Dataset Versions
v4
2023-11-07 2:24pm
Generated on Nov 7, 2023
136 Total Images
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Dataset Split
Train Set 82%
111Images
Valid Set 18%
25Images
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
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -70° and +70°
Brightness: Between -14% and +14%
Noise: Up to 3% of pixels