
### Dataset Summary

This dataset includes 258 food classes each class has 1,000 photos.

### Languages

We provided English labels however you can translate them to any language.

## Dataset Split

There are three splits:

- validation
- train
- test

### Data Fields

- `image` PIL.Image
- `label` An index of the label

## Dataset Creation

We crawled publicly available food images across websites.

## Limitation

The dataset is not accurate.
language:en license:odc-by region:us
{"language": ["en"], "license": "odc-by", "pretty_name": "goo", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "aloo jeera", "1": "americano", "2": "angkor beer", "3": "apple juice", "4": "avocado smoothie", "5": "bacchus", "6": "banana smoothie", "7": "basil fried rice", "8": "beef burger", "9": "beef fried noodle", "10": "beef fried rice", "11": "beef lok lak", "12": "beef lok lak with rice", "13": "beef spicy salad", "14": "black chicken soup", "15": "black coffee", "16": "black tea", "17": "blue crab papaya salad", "18": "blue crab spicy salad", "19": "blue curacao soda", "20": "blueberry smoothie", "21": "blueberry soda", "22": "braised beef noodle", "23": "braised beef rice stick noodle", "24": "braised beef with bread", "25": "brown sugar", "26": "brown sugar milk tea", "27": "butter chicken", "28": "butter naan", "29": "butterfly pea milk tea", "30": "caesar salad", "31": "cambodia beer", "32": "cappuccino", "33": "cappuccino frappe", "34": "carabao", "35": "caramel frappe", "36": "caramel latte", "37": "caramel macchiato", "38": "caramel macchiato frappe", "39": "caramel milk tea", "40": "carrot", "41": "carrot juice", "42": "cheese naan", "43": "chicken", "44": "chicken burger", "45": "chicken curry", "46": "chicken fried rice", "47": "chicken korma", "48": "chicken nugget", "49": "chicken porridge", "50": "chicken salad", "51": "chicken samosa", "52": "chicken sour soup", "53": "chicken tikka", "54": "chicken tikka masala", "55": "chicken wing", "56": "chocolate", "57": "chocolate frappe", "58": "chocolate milk", "59": "club sandwich", "60": "coca cola", "61": "cocacola", "62": "coconut butterfly pea tea", "63": "coconut chocolate", "64": "coconut coffee", "65": "coconut coffee milk", "66": "coconut green milk tea", "67": "coconut green tea", "68": "coconut smoothie", "69": "coffee frappe", "70": "coffee latte", "71": "coffee milk", "72": "coffee with milk", "73": "coke", "74": "coke zero", "75": "croissant", "76": "deepfried chicken", "77": "deepfried chicken wing", "78": "double espresso", "79": "edamame", "80": "egg", "81": "egg fried rice", "82": "espresso", "83": "fanta", "84": "fanta orange", "85": "fish curry", "86": "fish porridge", "87": "fish sour soup", "88": "french fries", "89": "fresh apple juice", "90": "fresh carrot juice", "91": "fresh milk", "92": "fresh milk frappe", "93": "fresh orange juice", "94": "fresh pineapple juice", "95": "fresh watermelon juice", "96": "fried chicken", "97": "fried chicken drumstick with rice", "98": "fried chicken with rice", "99": "fried egg", "100": "fried egg with bitter melon", "101": "fried egg with salted fish", "102": "fried fish ball", "103": "fried noodle", "104": "fried pork with rice", "105": "fried rice", "106": "garlic naan", "107": "ginger ale", "108": "glass noodle", "109": "green apple soda", "110": "green milk tea", "111": "green salad", "112": "green tea", "113": "green tea frappe", "114": "green tea latte", "115": "ham and cheese sandwich", "116": "honey lemon tea", "117": "hot americano", "118": "hot cappuccino", "119": "hot caramel latte", "120": "hot caramel macchiato", "121": "hot chocolate", "122": "hot coffee", "123": "hot coffee latte", "124": "hot coffee milk", "125": "hot coffee mocha", "126": "hot dog", "127": "hot espresso", "128": "hot flat white", "129": "hot fresh milk", "130": "hot green tea", "131": "hot green tea latte", "132": "hot latte", "133": "hot lemon tea", "134": "hot matcha latte", "135": "hot mocha", "136": "hot vanilla latte", "137": "iced americano", "138": "iced black coffee", "139": "iced cappuccino", "140": "iced caramel latte", "141": "iced caramel macchiato", "142": "iced chocolate", "143": "iced coffee", "144": "iced coffee latte", "145": "iced coffee milk", "146": "iced coffee with milk", "147": "iced fresh milk", "148": "iced green milk tea", "149": "iced green tea", "150": "iced green tea latte", "151": "iced honey lemon tea", "152": "iced latte", "153": "iced lemon green tea", "154": "iced lemon red tea", "155": "iced lemon tea", "156": "iced matcha latte", "157": "iced milk tea", "158": "iced mocha", "159": "iced passion milk", "160": "iced passion soda", "161": "iced peach tea", "162": "iced red milk tea", "163": "iced strawberry soda", "164": "iced vanilla latte", "165": "jasmine milk tea", "166": "kimchi", "167": "kiwi smoothie", "168": "kiwi soda", "169": "latte", "170": "latte frappe", "171": "lemon butterfly pea tea", "172": "lemon green tea", "173": "lemon juice", "174": "lemon red tea", "175": "lemon soda", "176": "lemon tea", "177": "logo", "178": "lok lak fried rice", "179": "mango passion smoothie", "180": "mango smoothie", "181": "matcha frappe", "182": "matcha latte", "183": "menu", "184": "milk tea", "185": "mineral water", "186": "mocha", "187": "mocha frappe", "188": "oolong milk tea", "189": "oolong tea", "190": "orange juice", "191": "ovaltine milk", "192": "pad thai", "193": "paneer tikka masala", "194": "passion fresh milk", "195": "passion fruit smoothie", "196": "passion milk", "197": "passion smoothie", "198": "passion soda", "199": "passion tea", "200": "peach soda", "201": "pepsi", "202": "pineapple juice", "203": "pork fried noodle", "204": "pork fried rice", "205": "pork porridge", "206": "pork rice", "207": "pork with rice", "208": "raspberry soda", "209": "red bull", "210": "red milk tea", "211": "red sting", "212": "rice", "213": "roasted duck", "214": "salted crab papaya salad", "215": "sausage", "216": "seafood fried noodle", "217": "seafood fried rice", "218": "seafood noodle soup", "219": "seafood pizza", "220": "seafood porridge", "221": "seafood rice stick noodle", "222": "seafood tom yum", "223": "seaweed soup", "224": "shrimp", "225": "shrimp dumpling", "226": "shrimp fried rice", "227": "shrimp paste fried rice", "228": "soda", "229": "soda water", "230": "spaghetti bolognese", "231": "spaghetti carbonara", "232": "sprite", "233": "squid", "234": "steamed rice", "235": "sting", "236": "stirfried chicken with ginger", "237": "stirfried morning glory with oyster sauce", "238": "stirfried squid with green peppercorn", "239": "strawberry frappe", "240": "strawberry fresh milk", "241": "strawberry milk", "242": "strawberry smoothie", "243": "strawberry soda", "244": "strawberry yogurt", "245": "taiwan milk tea", "246": "taro milk", "247": "thai milk tea", "248": "tuna salad", "249": "tuna sandwich", "250": "vanilla frappe", "251": "vanilla latte", "252": "vigor", "253": "water", "254": "watermelon juice", "255": "wonton soup", "256": "yangzhou fried rice", "257": "yellow sting"}}}}], "splits": [{"name": "train", "num_bytes": 13175816458, "num_examples": 258000}, {"name": "test", "num_bytes": 1068936423, "num_examples": 25800}, {"name": "validation", "num_bytes": 1062627528.4, "num_examples": 25800}], "download_size": 11236412882, "dataset_size": 15307380409.4}}
TAGS
#language-English #license-odc-by #region-us 


### Dataset Summary

This dataset includes 258 food classes each class has 1,000 photos.

### Languages

We provided English labels however you can translate them to any language.

## Dataset Split

There are three splits:

- validation
- train
- test

### Data Fields

- 'image' PIL.Image
- 'label' An index of the label

## Dataset Creation

We crawled publicly available food images across websites.

## Limitation

The dataset is not accurate.
### Dataset Summary

This dataset includes 258 food classes each class has 1,000 photos. ### Languages

We provided English labels however you can translate them to any language. ## Dataset Split

There are three splits:

- validation
- train
- test ### Data Fields

- 'image' PIL.Image
- 'label' An index of the label ## Dataset Creation

We crawled publicly available food images across websites. ## Limitation

The dataset is not accurate.
TAGS
#language-English #license-odc-by #region-us 
 ### Dataset Summary

This dataset includes 258 food classes each class has 1,000 photos. ### Languages

We provided English labels however you can translate them to any language. ## Dataset Split

There are three splits:

- validation
- train
- test ### Data Fields

- 'image' PIL.Image
- 'label' An index of the label ## Dataset Creation

We crawled publicly available food images across websites. ## Limitation

The dataset is not accurate.
passage: TAGS
#language-English #license-odc-by #region-us 
### Dataset Summary

This dataset includes 258 food classes each class has 1,000 photos.### Languages

We provided English labels however you can translate them to any language.## Dataset Split

There are three splits:

- validation
- train
- test### Data Fields

- 'image' PIL.Image
- 'label' An index of the label## Dataset Creation

We crawled publicly available food images across websites.## Limitation

The dataset is not accurate.