Dataset Versions
v3
2024-03-18 3:17pm
Generated on Mar 18, 2024
114 Total Images
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Dataset Split
Train Set 76%
87Images
Valid Set 11%
13Images
Test Set 12%
14Images
Preprocessing
Auto-Orient: Applied
Dynamic Crop: Class: banana
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -18% and +18%
Blur: Up to 0.8px
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -29° and +29°