vtar Image Dataset
v1
2023-05-07 6:33pm
Generated on May 7, 2023
1858 Total Images
View All Images
Dataset Split
Train Set 88%
1626Images
Valid Set 8%
154Images
Test Set 4%
78Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
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