Food Type Classification Model
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Food Type Classification Model
Developed by nisuga
A lightweight text classification model that categorizes food as plant-based (PLANT_BASED) or animal-based (ANIMAL_BASED) based on ingredients or product names
Downloads 23
Release Time : 12/16/2023
Model Overview
This model automatically identifies the protein source type by analyzing food ingredients or names, suitable for scenarios such as food industry classification and nutritional analysis. Based on the DistilBERT architecture, it features high efficiency and accuracy.
Model Features
High-Precision Classification
Achieves 99.4% classification accuracy on the evaluation set with a loss of only 0.0249
Lightweight and Efficient
Based on the DistilBERT distilled model, it reduces computational resource requirements while maintaining performance
Domain-Specific Adaptation
Fine-tuned using the USDA FoodData Central professional food dataset, making it suitable for food industry applications
Model Capabilities
Food Ingredient Classification
Plant-Based Product Identification
Animal-Based Product Identification
Short Text Classification
Use Cases
Food Industry
Automatic Product Label Classification
Automatically identifies the protein source type from ingredient lists on food packaging
99.4% accuracy
Nutritional Analysis System
Provides protein source classification functionality for nutritional calculation software
Retail
Vegetarian Product Filtering
Helps e-commerce platforms automatically tag plant-based products
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