Dataset Versions
v1
2023-11-03 9:16pm
Generated on Nov 3, 2023
377 Total Images
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Dataset Split
Train Set 88%
330Images
Valid Set 8%
31Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Bounding Box: Brightness: Between -25% and +25%