Dataset Versions
Versions
v1
2023-03-08 11:54am
Generated on Mar 8, 2023
924 Total Images
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Dataset Split
Train Set 87%
807Images
Valid Set 9%
79Images
Test Set 4%
38Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Grayscale: Apply to 25% of images
Hue: Between -11° and +11°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 10% size each