Dataset Versions
v3
2023-04-24 6:05pm
Generated on Apr 24, 2023
846 Total Images
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Dataset Split
Train Set 88%
741Images
Valid Set 8%
70Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -50° and +50°
Saturation: Between -53% and +53%
Brightness: Between -41% and +41%
Exposure: Between -43% and +43%