Utensil Classifier Computer Vision Model
Dataset Version
Generated on Nov 7, 2025
Notes: This version is created for classifying spoon, fork, and knife images using Roboflow Classification. Preprocessing includes Auto-Orient and resizing images to 640x640 for consistency. Augmentation includes horizontal flip, small rotations, brightness and contrast adjustments, slight blur, and low noise. This version aims to improve the model’s accuracy in recognizing utensils under different lighting, angles, and backgrounds.
685 Total Images
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Dataset Split
Train Set 88%
600Images
Valid Set 8%
57Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 1.2px
Noise: Up to 0.04% of pixels