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FoodCalorieDetection

Classification

FoodCalorieDetection Image Dataset

Try Pre-Trained Model
Versions
2023-10-03 12:55pm
v3
Oct 3, 2023
2023-10-02 2:14pm
v2
Oct 2, 2023
2023-10-02 12:32pm
v1
Oct 2, 2023
v2

2023-10-02 2:14pm

Generated on Oct 2, 2023
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240 Total Images

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Dataset Split

Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each