ozertuu/foodv2

Turkish Food & Nutrition Vision Dataset (Food v2)

High-resolution, human-POV Turkish food and packaged snack dataset with canonical nutrition macros and portion sizes.

📊 Dataset Summary

• —Repository: ozertuu/foodv2
• —Canonical Foods: 29,840
• —Images Total: 89,520
• —Average Images / Food: ~3.0
• —Image Sources: Yemeksepeti / DeliveryHero, GetirYemek, Migros Sanalmarket, Getir, Nefis Yemek Tarifleri, OpenFoodFacts.

🍽️ Features & Schema

• —image: PIL Image / Raw JPEG bytes
• —food_id: Unique canonical food UUID
• —name_tr: Turkish food name
• —name_en: English translation
• —category: Macro food category (proteins, sweets, vegetables, fruits, grains, etc.)
• —calories_100g, protein_100g, carbs_100g, fat_100g: Canonical macro nutrition per 100g
• —default_serving, default_serving_grams: Standard reference portion
• —source_url, source_domain: Source origin
• —sha256, phash: Deduplication hashes

💻 Quickstart in Kaggle / Python

from datasets import load_dataset

# Load entire dataset or stream
dataset = load_dataset("ozertuu/foodv2", split="train")

# Inspect first item
item = dataset[0]
print(item["name_tr"], item["calories_100g"], "kcal")
item["image"].show()