FoodAI & Datasets
Collection
Multimodal models, adapters, and culinary datasets for Turkish and international food AI & nutrition intelligence. • 6 items • Updated
Datasets:
image_id large_string | food_id large_string | name_tr large_string | name_en large_string | category large_string | category_slug large_string | calories_100g float64 | protein_100g float64 | carbs_100g float64 | fat_100g float64 | default_serving null | default_serving_grams float64 | source_domain large_string | source_url large_string | search_query large_string | width int64 | height int64 | format large_string | sha256 large_string | phash large_string | image dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9b338a9a-e144-4a52-8fde-249e53753e84_img_01 | 9b338a9a-e144-4a52-8fde-249e53753e84 | Altın Başak galeta | Galeta | grains | grains | 410 | 12 | 75 | 7 | null | 15 | store.donanimhaber.com | "Altın Başak galeta" yemeksepeti getiryemek -koli -toptan -fiyat -kampanya -indirim -broşür -katalog -reklam -youtube -video | 640 | 1,280 | JPEG | 05a8ca9f8b89c3c8b346a52f8b92ca53d67f278ed3785a0192e5bbee393f0f1c | ab5f548430ee1d33 | {
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6a3a0267-b7c6-4034-9213-4b57636e1d86_img_01 | 6a3a0267-b7c6-4034-9213-4b57636e1d86 | Şeftali | Peach | fruits | fruits | 39 | 0.9 | 9.5 | 0.3 | null | 150 | m.ftscrt.com | "\"Şeftali\" taze dilimlenmiş tabakta -koli -toptan -fiyat -kampanya -indirim -broşür -katalog -(...TRUNCATED) | 1,080 | 1,080 | JPEG | 93aff88d8f6730d2ab201a078cb3a09975c157780e0028defa3a371333f8f168 | bea4c643919bf1c1 | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) | |
63b68331-bb2a-40d2-bbd2-87d66174dc6a_img_01 | 63b68331-bb2a-40d2-bbd2-87d66174dc6a | Haşhaşlı Simit | Poppy Seed Bagel | grains | grains | 265 | 9.5 | 51.5 | 3.2 | null | 100 | www.safranbolufirini.com | "\"Haşhaşlı Simit\" yemeksepeti getiryemek -koli -toptan -fiyat -kampanya -indirim -broşür -kat(...TRUNCATED) | 800 | 800 | JPEG | 2e07e1ae1b96214b52c4b8daf5f017a91ff78d431dcab16c7292f3ffbd067551 | ffc68cce0d6ea840 | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) | |
1b18f147-333d-44f2-90bd-187ec021f23c_img_01 | 1b18f147-333d-44f2-90bd-187ec021f23c | Kırmızı Biber | Red Pepper | vegetables | vegetables | 31 | 1 | 6 | 0.3 | null | 120 | media.istockphoto.com | "https://media.istockphoto.com/id/805256588/tr/fotoğraf/taze-yeşil-dilimlenmiş-salatalık-kırmı(...TRUNCATED) | "\"Kırmızı Biber\" taze dilimlenmiş tabakta -koli -toptan -fiyat -kampanya -indirim -broşür -k(...TRUNCATED) | 1,024 | 682 | JPEG | cf796fd93df0549e8e7697e2e46292d48fed5e5a7e1022eac3e6677c7af8bae0 | 9a89956ba536ca53 | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) |
3df16276-c656-41c1-986a-12f85279ef36_img_01 | 3df16276-c656-41c1-986a-12f85279ef36 | Yeşil biber | Green pepper | vegetables | vegetables | 20 | 0.9 | 4.6 | 0.2 | null | 120 | media.istockphoto.com | "https://media.istockphoto.com/id/1088327982/tr/fotoğraf/taze-uzun-yeşil-biber-beyaz-peynir-ve-int(...TRUNCATED) | "\"Yeşil biber\" taze dilimlenmiş tabakta -koli -toptan -fiyat -kampanya -indirim -broşür -katal(...TRUNCATED) | 1,024 | 683 | JPEG | 38db8be4f0a82f88a5e42e23215ca6107f2390aa20a95ad345ab7b97ddb26ee2 | f49dc1423db3489e | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) |
6a3a0267-b7c6-4034-9213-4b57636e1d86_img_02 | 6a3a0267-b7c6-4034-9213-4b57636e1d86 | Şeftali | Peach | fruits | fruits | 39 | 0.9 | 9.5 | 0.3 | null | 150 | m.ftscrt.com | "\"Şeftali\" taze dilimlenmiş tabakta -koli -toptan -fiyat -kampanya -indirim -broşür -katalog -(...TRUNCATED) | 1,080 | 1,080 | JPEG | 7b7db4358d2da482cae218c92a958455b4722078c012c33c8f856978eb635356 | b080c90f6e1f677c | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) | |
565b76b4-5731-4256-8f70-e246b461d54a_img_01 | 565b76b4-5731-4256-8f70-e246b461d54a | Tulum Peyniri | Tulum Cheese | dairy | dairy | 370 | 20 | 2 | 31 | null | 30 | yemeksepeti.dhmedia.io | "https://yemeksepeti.dhmedia.io/image/product-information-management/68a5ddcadd0a94247307da99.jpg?he(...TRUNCATED) | "\"Tulum Peyniri\" yemeksepeti getiryemek -koli -toptan -fiyat -kampanya -indirim -broşür -katalog(...TRUNCATED) | 853 | 480 | JPEG | f2a32362bd2d069bdc665bcbf35071bc50ebfa889fbb2eab86f19ef47fa13f8a | e193ce6c9a6439cc | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) |
d916acad-aecf-4c49-b00a-5aa30dcf291c_img_01 | d916acad-aecf-4c49-b00a-5aa30dcf291c | Protein Bar | Protein Bar | processed | islenmis-gidalar | 350 | 30 | 35 | 8 | null | 50 | image.migros.ch | "https://image.migros.ch/d/mo-boxed/v-w-1000-h-1000/o-af-1-t.clr-fff/dd1bd5789542016a08b7f45b7ca058d(...TRUNCATED) | "\"Protein Bar\" getir migros sanalmarket tekli -koli -toptan -fiyat -kampanya -indirim -broşür -k(...TRUNCATED) | 1,000 | 1,000 | JPEG | 6e30fba7a08311f738a3dc83fad8b492aabb228f770b6195374327e4b7165e89 | 82d1fd6e23991ac6 | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) |
269d478e-acc1-4344-8baa-23935a5c8216_img_01 | 269d478e-acc1-4344-8baa-23935a5c8216 | Hindi Füme | Smoked Turkey | meat | meat | 110 | 22 | 1 | 2.5 | null | 40 | yemeksepeti.dhmedia.io | "https://yemeksepeti.dhmedia.io/image/product-information-management/689df404a0c4c47887f83ef6.jpg?he(...TRUNCATED) | "\"Hindi Füme\" yemeksepeti getiryemek -koli -toptan -fiyat -kampanya -indirim -broşür -katalog -(...TRUNCATED) | 853 | 480 | JPEG | b3a77d775277da14c2a38d54dccaeed54ec64d9d87e5a27d370a5a6d2e54f924 | ecc7c624921a9b3b | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) |
7f902831-2449-4952-99be-e045a6a21151_img_01 | 7f902831-2449-4952-99be-e045a6a21151 | Simit | Simit | grains | grains | 340 | 9.5 | 62 | 6.5 | null | 100 | www.nefislezzetim.com | "\"Simit\" yemeksepeti getiryemek -koli -toptan -fiyat -kampanya -indirim -broşür -katalog -reklam(...TRUNCATED) | 1,031 | 1,412 | JPEG | b59865591d0f5b11918a87ad0440365877f3f5c79d05e854cce0b8ef84164cea | ebd4ac53ec062b1c | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAQDAwMDAgQDAwMEBAQFBgoGBgUFBgwICQcKDgwPDg4MDQ0PERYTDxAVEQ(...TRUNCATED) |
End of preview. Expand in Data Studio
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 bytesfood_id: Unique canonical food UUIDname_tr: Turkish food namename_en: English translationcategory: Macro food category (proteins,sweets,vegetables,fruits,grains, etc.)calories_100g,protein_100g,carbs_100g,fat_100g: Canonical macro nutrition per 100gdefault_serving,default_serving_grams: Standard reference portionsource_url,source_domain: Source originsha256,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()
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