Carton Can Detection Dataset

v1

2024-09-18 1:21am

Generated on Sep 18, 2024

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Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: carton box
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±11° Vertical
Hue: Between -15° and +15°
Saturation: Between -31% and +31%
Brightness: Between -23% and +23%
Exposure: Between -13% and +13%
Blur: Up to 4.4px
Noise: Up to 1.64% of pixels
Cutout: 6 boxes with 10% size each