Dataset_Botol_Plastik Computer Vision Model
333 Total Images
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Dataset Split
Train Set 87%
291Images
Valid Set 9%
28Images
Test Set 4%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -31° and +31°
Grayscale: Apply to 59% of images
Saturation: Between -81% and +81%
Brightness: Between -58% and +58%
Blur: Up to 2.5px