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Datasets:
ethz
/
food101

Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K - 1M
Libraries:
Datasets
Dask
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albertvillanova HF staff commited on
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Delete legacy dataset_infos.json

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  1. dataset_infos.json +0 -155
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- {
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- "default": {
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- "description": "This dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of intense colors and sometimes wrong labels. All images were rescaled to have a maximum side length of 512 pixels.",
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- "citation": " @inproceedings{bossard14,\n title = {Food-101 -- Mining Discriminative Components with Random Forests},\n author = {Bossard, Lukas and Guillaumin, Matthieu and Van Gool, Luc},\n booktitle = {European Conference on Computer Vision},\n year = {2014}\n}\n",
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- "homepage": "https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/",
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- "license": "LICENSE AGREEMENT\n=================\n - The Food-101 data set consists of images from Foodspotting [1] which are not\n property of the Federal Institute of Technology Zurich (ETHZ). Any use beyond\n scientific fair use must be negociated with the respective picture owners\n according to the Foodspotting terms of use [2].\n\n[1] http://www.foodspotting.com/\n[2] http://www.foodspotting.com/terms/\n",
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- "features": {
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- "image": {
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- "_type": "Image"
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- },
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- "label": {
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- "names": [
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- "apple_pie",
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- "baby_back_ribs",
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- "baklava",
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- "beef_carpaccio",
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- "beef_tartare",
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- "beet_salad",
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- "beignets",
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- "bibimbap",
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- "bread_pudding",
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- "breakfast_burrito",
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- "bruschetta",
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- "caesar_salad",
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- "cannoli",
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- "caprese_salad",
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- "carrot_cake",
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- "ceviche",
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- "cheesecake",
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- "cheese_plate",
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- "chicken_curry",
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- "chicken_quesadilla",
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- "chicken_wings",
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- "chocolate_cake",
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- "chocolate_mousse",
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- "churros",
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- "clam_chowder",
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- "club_sandwich",
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- "crab_cakes",
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- "creme_brulee",
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- "croque_madame",
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- "cup_cakes",
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- "deviled_eggs",
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- "donuts",
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- "dumplings",
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- "edamame",
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- "eggs_benedict",
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- "escargots",
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- "falafel",
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- "filet_mignon",
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- "fish_and_chips",
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- "foie_gras",
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- "french_fries",
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- "french_onion_soup",
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- "french_toast",
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- "fried_calamari",
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- "fried_rice",
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- "frozen_yogurt",
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- "garlic_bread",
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- "gnocchi",
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- "greek_salad",
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- "grilled_cheese_sandwich",
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- "grilled_salmon",
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- "guacamole",
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- "gyoza",
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- "hamburger",
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- "hot_and_sour_soup",
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- "hot_dog",
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- "huevos_rancheros",
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- "hummus",
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- "ice_cream",
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- "lasagna",
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- "lobster_bisque",
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- "lobster_roll_sandwich",
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- "macaroni_and_cheese",
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- "macarons",
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- "miso_soup",
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- "mussels",
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- "nachos",
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- "omelette",
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- "onion_rings",
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- "oysters",
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- "pad_thai",
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- "paella",
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- "pancakes",
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- "panna_cotta",
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- "peking_duck",
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- "pho",
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- "pizza",
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- "pork_chop",
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- "poutine",
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- "prime_rib",
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- "pulled_pork_sandwich",
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- "ramen",
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- "ravioli",
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- "red_velvet_cake",
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- "risotto",
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- "samosa",
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- "sashimi",
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- "scallops",
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- "seaweed_salad",
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- "shrimp_and_grits",
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- "spaghetti_bolognese",
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- "spaghetti_carbonara",
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- "spring_rolls",
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- "steak",
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- "strawberry_shortcake",
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- "sushi",
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- "tacos",
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- "takoyaki",
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- "tiramisu",
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- "tuna_tartare",
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- "waffles"
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- ],
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- "_type": "ClassLabel"
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- }
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- },
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- "supervised_keys": {
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- "input": "image",
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- "output": "label"
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- },
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- "task_templates": [
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- {
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- "task": "image-classification",
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- "label_column": "label"
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- }
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- ],
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- "builder_name": "parquet",
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- "dataset_name": "food101",
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- "config_name": "default",
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- "version": {
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- "version_str": "0.0.0",
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- "major": 0,
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- "minor": 0,
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- "patch": 0
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- },
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- "splits": {
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- "train": {
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- "name": "train",
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- "num_bytes": 3842657187.0,
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- "num_examples": 75750,
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- "dataset_name": null
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- },
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- "validation": {
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- "name": "validation",
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- "num_bytes": 1275182340.5,
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- "num_examples": 25250,
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- "dataset_name": null
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- }
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- },
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- "download_size": 5059972308,
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- "dataset_size": 5117839527.5,
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- "size_in_bytes": 10177811835.5
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- }
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- }