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Food image dataset preview

Food Image Classification Dataset

209K labeled images
Free download
209K+ labeled food images ready for AI and computer vision research. Delivered as an ImageFolder-style ZIP with train / val / test splits and class-labeled folders. Review the source license before use. Compatible with PyTorch, TensorFlow, Keras, and any classification pipeline.

Download dataset · 209K imagesSupport the project

Browse a selection of samples from the Food image dataset.

Sample 1 – Food
Sample 2 – Food
Sample 3 – Food
Sample 4 – Food
Sample 5 – Food
Sample 6 – Food

Categories in this dataset

SashimiBibimbapBagelLobster bisqueOnion ringsTakoyakiPhoMeduvadaiAcorn squashBisibelebathRollJamunShrimpBoleteBaby back ribsDosaDumplingsSoyRed velvet cakeBreakfast burritoMusselsFried calamariShrimp and gritsGrapesBeet saladApplePopsicleLobsterBeef carpaccioAgaricusBeignetsMenuMiso soupPretzelMashed potatoCustard appleButternaanEarthstarChappatiBread puddingChocolate sauceCheese plateFrench friesClub sandwichCarrot cakeCroque madameHotdogChicken wingsChurrosDonutEscargotsGarlic breadPad thaiCheeseburgerChicken curryCheesecakeKathiRussulaStrawberryMacaronsFried foodBuffetEntolomaCarbonaraClam chowderTrayAcornBaklavaFigSpaghetti carbonaraPrime ribGreek saladPineappleFoie grasGrilled cheese sandwichLactariusFrench toastHamburgerVadaOmeletteLobster roll sandwichCannoliIndian pittaBoletusTacosPooriSamosaSpaghetti squashDhoklaPotpieBeef tartareHen of the woodsCaesar saladPoutineMangoChocolate mousseNoodles pastaPaniyaramPavChicken quesadillaPeking duckPongalCortinariusNachosAmerican lobsterNoodlesBirthday cakeVenGulabPulled pork sandwichCookieDeviled eggsHuevos rancherosJackfruitCup cakesAgaricRavioliPeallaTuna tartareRamenUpmaMacaroni and cheeseWafflesEdamameMeat loafCandleHalwaEggs benedictOysterStrawberry shortcakeFrench onion soupGnocchiSeaweed saladIdlyBeansScallopsRisottoKiwiBruschettaRiceFrench loafIce lollyPomegranateFried riceTandooriPeanutCevicheLasagnaFilet mignonChaatPizzaLollipopPanna cottaDonutsSpaghetti bologneseAmanitaFalafelHot potSpring rollsRotisserieConsommeApple pieHot and sour soupBreadWatermelonBlueberryOistersStinkhornPlateBurritoTiramisuCrab cakesPaprikaGyozaIce creamSushiChocolate cakeDoughPork chopTrifleGrilled salmonHygrocybeHummusFrozen yogurtFish and chipsGranny smithSuillusGyromitraPearCaprese saladCreme bruleeGuacamoleSteakEggBiriyani

Tags

Food labeled image dataset
Food photos
Food pictures
Food images
Food dataset
Food image dataset

Data sources

What you get

Food classification dataset, ready to train

Clean folder layout

`train` / `val` / `test` sub-folders per class plus a `meta.json` with label list, split counts, and ImageNet normalization constants — ready for `torchvision.datasets.ImageFolder`.


Your choices, your ZIP

Pick output size, color mode, train/val/test split, and 20 augmentations. The ZIP is built for your exact setup.


Research-friendly

BibTeX citation per dataset and a Colab starter notebook. No signup required to download.


Framework-agnostic

PyTorch, TensorFlow, Ultralytics — pick any. Standard ImageFolder layout works out of the box.

Ready to train?

Configure the split and augmentations, then grab the ZIP.

Download dataset

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