README.md

---
license: apache-2.0
tags:
  - food
  - classification
  - efficientnet
  - nutrition5k
pipeline_tag: image-classification
---

# EfficientNet-B2 Food Classifier

Classifies food crops into 37 categories from the Nutrition5k dataset.
Used as Stage 2 in a food segmentation + identification pipeline.

**Stage 1 segmenter:** [arunapb/yolo11l-food-segmentation](https://huggingface.co/arunapb/yolo11l-food-segmentation)

## Classes (37)
almond, apple, asparagus, avocado, broccoli, carrot, cauliflower, celery_stick, cherry, chicken_duck, corn, cucumber, dried_cranberries, egg, eggplant, enoki_mushroom, grape, green_beans, lettuce, melon, olives, onion, orange, pasta, pear, pepper, pineapple, pizza, potato, rice, salad, sausage, steak, tofu, tomato, watermelon, wonton_dumplings

## Performance
Best validation accuracy: 0.9875

## Usage
See class_names.json for the full class list.
Load best_classifier.pth with torchvision EfficientNet-B2.