Dataset Versions
v11
2023-07-25 1:08pm
Generated on Jul 25, 2023
6900 Total Images
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Dataset Split
Train Set 96%
6600Images
Valid Set 3%
240Images
Test Set 1%
60Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 1280x720
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 3 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 16% size each