Dataset Versions
v4
2023-10-21 3:59pm
Generated on Oct 21, 2023
213 Total Images
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Dataset Split
Train Set 87%
186Images
Valid Set 9%
19Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between 0% and +33%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical