plastic_snack Computer Vision Model
Versions
473 Total Images
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Dataset Split
Train Set 88%
414Images
Valid Set 8%
39Images
Test Set 4%
20Images
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: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±13° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -32% and +32%
Brightness: Between -44% and +44%
Exposure: Between -21% and +21%
Blur: Up to 2.5px
Noise: Up to 1.68% of pixels