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README.md

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+---
+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.