Dataset Versions

v4

version1

Generated on Nov 12, 2024

Dataset Split

Train Set 80%
2739Images
Valid Set 20%
695Images
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
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 -15% and +15%
Noise: Up to 2.01% of pixels

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