Dataset Versions
v4
2024-06-06 10:37pm
Generated on Jun 6, 2024
15440 Total Images
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Dataset Split
Train Set 88%
13644Images
Valid Set 8%
1284Images
Test Set 3%
512Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x768
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -45° and +45°
Saturation: Between -30% and +30%
Blur: Up to 3.6px
Noise: Up to 1.72% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Noise: Up to 2.2% of pixels