Dataset Versions
Versions
v1
2024-09-13 12:08pm
Generated on Sep 13, 2024
6411 Total Images
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Dataset Split
Train Set 88%
5610Images
Valid Set 8%
534Images
Test Set 4%
267Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Grayscale: Apply to 10% of images
Hue: Between -16° and +16°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px