Dataset Versions
v2
2023-09-05 9:15am
Generated on Sep 5, 2023
3109 Total Images
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Dataset Split
Train Set 99%
3090Images
Valid Set 0%
11Images
Test Set 0%
8Images
Preprocessing
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.25px
Noise: Up to 2% of pixels