Dataset Versions
v4
80-20_sinaumnetoenbb
Generated on Aug 14, 2024
4267 Total Images
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Dataset Split
Train Set 80%
3408Images
Valid Set 20%
859Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 20-75% Vertical Region
Resize: Stretch to 1280x800
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
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Blur: Up to 3px
Noise: Up to 5.01% of pixels
Cutout: 3 boxes with 15% size each