Dataset Versions
v2
2024-08-14 4:51pm
Generated on Aug 14, 2024
4200 Total Images
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Dataset Split
Train Set 79%
3300Images
Valid Set 21%
900Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 20-75% Vertical Region
Resize: Stretch to 1280x704
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 1 rows x 1 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3px
Noise: Up to 5.01% of pixels
Cutout: 3 boxes with 15% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down