Dataset Versions
v2
2023-08-30 9:15am
Generated on Aug 30, 2023
2537 Total Images
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Dataset Split
Train Set 98%
2496Images
Valid Set 1%
30Images
Test Set 0%
11Images
Preprocessing
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±22° Horizontal, ±21° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -32% and +32%
Exposure: Between -10% and +10%
Noise: Up to 3% of pixels