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
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 15% Minimum Zoom, 34% Maximum Zoom
Rotation: Between -31° and +31°
Shear: ±9° Horizontal, ±20° Vertical
Grayscale: Apply to 59% of images
Hue: Between -130° and +130°
Saturation: Between -81% and +81%
Brightness: Between -58% and +58%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 4.06% of pixels