Datasets:
apple
/
flair

Dataset card Data Studio Files Community
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129851880@N07
24,664,513,935
[ "equipment", "food" ]
train
[ "fork", "logo_other", "meat" ]
129851880@N07
31,602,152,755
[ "equipment", "food", "material" ]
train
[ "bottle", "food", "logo_other", "plate", "textile", "tofu", "vegetable", "zucchini" ]
129851880@N07
21,079,589,749
[ "equipment", "food" ]
train
[ "bowl", "plate", "spoon", "sugar_cube" ]
129851880@N07
28,026,499,120
[ "equipment", "food", "structure" ]
train
[ "clam", "lettuce", "meat", "placemat", "plate", "tofu", "vegetable", "wood_processed" ]
129851880@N07
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[ "equipment", "food", "material" ]
train
[ "bean_other", "bowl", "food", "material", "soup", "utensil" ]
129851880@N07
27,482,982,433
[ "equipment" ]
train
[ "document", "printed_page" ]
129851880@N07
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[ "equipment", "food", "structure" ]
train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
[ "container", "soup", "spoon", "tofu" ]
129851880@N07
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train
[ "bowl", "cold_cuts", "halibut", "lettuce", "material", "plate", "seafood", "vegetable" ]
129851880@N07
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train
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129851880@N07
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train
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129851880@N07
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train
[ "green_onion", "logo_other", "meat", "pastry" ]
129851880@N07
26,131,092,460
[ "equipment", "food" ]
train
[ "container", "ice_cream" ]
129851880@N07
21,633,613,132
[ "equipment", "liquid", "material" ]
train
[ "coffee", "drinking_glass", "material", "milk", "mug", "tableware" ]
129851880@N07
27,323,809,980
[ "equipment", "food", "material", "structure" ]
train
[ "pot_cooking", "raw_metal", "soup", "utensil", "wood_processed" ]
129851880@N07
33,667,757,810
[ "equipment", "food" ]
train
[ "bowl", "broccoli", "cauliflower", "condiment", "lettuce", "logo_other", "souvlaki" ]
129851880@N07
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[ "equipment", "food", "liquid", "material" ]
train
[ "cake_regular", "coffee", "cup", "material", "plate" ]
129851880@N07
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[ "equipment", "food", "structure" ]
train
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129851880@N07
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train
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129851880@N07
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[ "equipment", "food" ]
train
[ "bowl", "salad", "vegetable" ]
129851880@N07
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train
[ "chopsticks", "halibut", "tableware" ]
129851880@N07
26,922,844,161
[ "equipment", "food", "liquid", "structure" ]
train
[ "bowl", "cup", "drink", "dumpling", "food", "plate", "soup", "table", "wood_processed" ]
129851880@N07
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train
[ "foliage", "material", "meat", "tableware", "vegetable" ]
129851880@N07
29,298,169,442
[ "equipment", "food", "interior_room", "structure" ]
train
[ "baked_goods", "frozen_yogurt", "interior_room", "tableware", "wood_processed" ]
129851880@N07
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[ "equipment", "liquid" ]
train
[ "bottle", "cardboard_box", "container_other", "crate", "drink", "logo_other", "refrigerator" ]
129851880@N07
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[ "equipment", "food" ]
train
[ "bowl", "condiment", "spoon" ]
129851880@N07
22,755,097,297
[ "equipment", "food", "structure" ]
train
[ "bell_pepper", "broccoli", "food", "plate", "sauce", "spice", "steak", "wood_processed" ]
129851880@N07
25,305,329,523
[ "equipment", "liquid", "material" ]
train
[ "jug", "kettle", "tableware", "tea_drink", "textile" ]
129851880@N07
22,842,936,837
[ "equipment", "food", "structure" ]
train
[ "bread", "hamburger", "logo_other", "plate", "potato", "salad", "spinach", "tomato", "wood_processed" ]
129851880@N07
26,402,033,805
[ "equipment", "food", "material" ]
train
[ "bowl", "condiment", "food", "logo", "meat", "placemat", "plate", "textile", "tray" ]
129851880@N07
36,717,555,982
[ "equipment", "food" ]
train
[ "ice_cream", "logo", "spoon", "tableware" ]
129851880@N07
23,490,141,675
[ "equipment", "food" ]
train
[ "carrot", "lettuce", "lime", "meat", "plate", "sesame" ]
129851880@N07
30,631,648,303
[ "equipment", "food", "structure" ]
train
[ "logo", "plate", "scallop", "shellfish_prepared", "vegetable", "wood_processed" ]
129851880@N07
27,112,377,739
[ "animal", "equipment", "food" ]
train
[ "anchovy", "bag", "container_other", "jar", "logo_other", "seafood", "weight_scale" ]
129851880@N07
21,654,378,875
[ "equipment", "food", "structure" ]
train
[ "bowl", "chopsticks", "cilantro", "food", "green_beans", "pasta", "plate", "spoon", "wood_processed" ]
129851880@N07
34,188,662,691
[ "equipment", "food" ]
train
[ "logo_other", "meat", "plate", "teriyaki", "vegetable" ]
129851880@N07
28,680,596,302
[ "equipment", "food" ]
train
[ "lettuce", "logo", "oyster", "parsley", "tableware" ]
129851880@N07
23,630,870,315
[ "food" ]
train
[ "meat", "souvlaki" ]
129851880@N07
26,384,204,886
[ "equipment", "food", "material" ]
train
[ "container", "grill", "material", "meat" ]
129851880@N07
24,990,695,645
[ "equipment", "food", "material" ]
train
[ "material", "plate", "stir_fry", "vegetable" ]
129851880@N07
34,272,530,984
[ "equipment", "food" ]
train
[ "carrot", "egg", "food", "meat", "plate", "salad", "spoon", "vegetable" ]
129851880@N07
18,550,336,582
[ "equipment", "food" ]
train
[ "baked_goods", "condiment", "food", "hamburger", "lettuce", "meat", "tableware" ]
129851880@N07
21,643,768,346
[ "food", "material" ]
train
[ "material", "quesadilla" ]
129851880@N07
37,596,036,724
[ "equipment", "liquid" ]
train
[ "cup", "drink", "logo_other" ]
129851880@N07
21,557,300,935
[ "equipment", "food", "material" ]
train
[ "container", "cup", "food", "material", "soup", "tableware", "utensil" ]
129851880@N07
29,552,217,026
[ "equipment", "food" ]
train
[ "lime", "plate", "sardine" ]
129851880@N07
25,245,107,114
[ "equipment", "food", "liquid", "structure" ]
train
[ "food", "herb_other", "milk", "plate", "wood_processed" ]
129851880@N07
25,243,342,306
[ "equipment", "food", "plant", "structure" ]
train
[ "condiment_other", "foliage", "lime", "platter", "seafood", "wood_processed" ]
129851880@N07
33,417,392,216
[ "equipment", "food", "structure" ]
train
[ "bowl", "condiment", "cookware", "logo_other", "meat", "plate", "wood_processed" ]
129851880@N07
29,586,264,435
[ "equipment", "food", "structure" ]
train
[ "plate", "souvlaki", "wood_processed" ]
129851880@N07
18,800,509,932
[ "equipment", "food" ]
train
[ "plate", "satay" ]
129851880@N07
25,587,135,993
[ "equipment", "food", "structure" ]
train
[ "scallop", "tray", "wood_processed" ]
129851880@N07
27,451,511,810
[ "equipment", "food", "liquid", "plant", "structure" ]
train
[ "flower", "herb", "ice", "lettuce", "logo_other", "parsley", "seafood", "wood_processed" ]
129851880@N07
31,853,240,382
[ "equipment", "food", "structure" ]
train
[ "baked_goods", "broccoli", "corn", "cucumber", "food", "green_beans", "logo_other", "mushroom", "plate", "tomato", "wood_processed" ]
129851880@N07
26,744,785,371
[ "equipment", "interior_room", "liquid", "structure" ]
train
[ "bottle", "carton", "chair", "drink", "interior_room", "wood_processed" ]
129851880@N07
25,017,256,361
[ "equipment", "material", "structure" ]
train
[ "bottle", "raw_glass", "structure" ]
129851880@N07
25,528,225,462
[ "equipment", "liquid", "structure" ]
train
[ "bag", "bottle", "drink", "drinking_glass", "wood_processed" ]
129851880@N07
26,090,317,196
[ "equipment", "food" ]
train
[ "cake", "caramel", "marshmallow", "plate" ]
129851880@N07
34,097,400,345
[ "equipment", "food", "plant" ]
train
[ "foliage", "herb", "lemon", "meat", "plate" ]
129851880@N07
38,689,771,472
[ "equipment", "food", "structure" ]
train
[ "bowl", "logo_other", "sunflower_seeds", "wood_processed" ]
129851880@N07
30,949,373,322
[ "equipment", "food", "liquid" ]
train
[ "bowl", "condiment", "cup", "drink", "food", "plate" ]
129851880@N07
35,256,721,501
[ "equipment", "food", "structure" ]
train
[ "food", "logo_other", "meat", "plate", "samosa", "wood_processed" ]
129851880@N07
29,623,892,622
[ "equipment", "food", "liquid" ]
train
[ "clam", "herb", "ice", "meat", "oyster", "tableware" ]
129851880@N07
31,630,200,521
[ "art", "equipment", "material", "plant" ]
train
[ "bag", "bouquet", "container", "flower", "foliage", "logo_other", "material" ]
129851880@N07
36,447,952,245
[ "food" ]
train
[ "food", "pepper_veggie", "soup", "spinach" ]
129851880@N07
22,578,004,173
[ "equipment" ]
train
[ "logo", "printed_page" ]
129851880@N07
26,962,244,481
[ "equipment", "food" ]
train
[ "rice", "seafood", "sushi", "tableware" ]
129851880@N07
28,851,248,885
[ "equipment", "food", "liquid", "structure" ]
train
[ "drinking_glass", "lemon", "lime", "margarita", "wood_processed" ]
129851880@N07
39,348,764,031
[ "equipment", "food", "structure" ]
train
[ "basket_container", "container", "document_other", "fruit", "lettuce", "logo_other", "oranges", "pineapple", "plate", "platter", "tongs", "watermelon", "wood_processed" ]
129851880@N07
35,498,562,041
[ "equipment", "material", "structure" ]
train
[ "container", "cookware", "material", "scissors", "structure", "tongs", "utensil" ]
129851880@N07
23,283,393,431
[ "equipment", "liquid", "structure" ]
train
[ "coffee", "cup", "plate", "tableware", "wood_processed" ]
129851880@N07
38,189,604,235
[ "equipment", "food" ]
train
[ "souvlaki", "tableware" ]
129851880@N07
33,302,363,192
[ "equipment", "food", "structure" ]
train
[ "bowl", "edamame", "logo_other", "tableware", "wood_processed" ]
129851880@N07
31,294,260,332
[ "equipment", "food", "structure" ]
train
[ "cutting_board", "logo_other", "plate", "salmon", "vegetable_other", "wood_processed" ]
129851880@N07
27,585,185,232
[ "equipment", "liquid", "material", "structure" ]
train
[ "container_other", "drink", "drinking_glass", "material", "straw_drinking", "table", "tableware", "wood_processed" ]
129851880@N07
21,732,759,863
[ "equipment", "food" ]
train
[ "bowl", "herb_other", "soup", "spoon" ]
129851880@N07
22,388,636,090
[ "equipment", "food", "structure" ]
train
[ "condiment_other", "lemon", "logo_other", "plate", "seafood", "wood_processed" ]
129851880@N07
29,870,684,280
[ "equipment", "food", "structure" ]
train
[ "beef", "cold_cuts", "condiment", "cookware", "corn", "food", "jar", "plate", "pot_cooking", "ramen", "spaghetti", "spinach", "table", "tofu", "vegetable", "wood_processed" ]
129851880@N07
23,829,288,205
[ "equipment", "food", "material" ]
train
[ "chopsticks", "material", "seafood" ]
129851880@N07
31,223,442,082
[ "equipment", "interior_room", "structure" ]
train
[ "container_other", "interior_room", "logo", "structure", "wood_processed" ]
129851880@N07
35,840,912,315
[ "equipment", "food", "material" ]
train
[ "logo_other", "material", "pineapple", "tableware", "watermelon" ]
129851880@N07
28,184,095,943
[ "equipment", "liquid" ]
train
[ "blender", "container", "document_other", "juice" ]
129851880@N07
26,362,503,352
[ "equipment", "food", "structure" ]
train
[ "cutting_board", "tableware", "wasabi", "wood_processed" ]
129851880@N07
33,947,242,556
[ "equipment", "food", "structure" ]
train
[ "edamame", "plate", "wood_processed" ]
129851880@N07
22,876,105,887
[ "equipment", "food", "structure" ]
train
[ "bowl", "logo_other", "meat", "mushroom", "soup", "structure", "vegetable", "wood_processed" ]
129851880@N07
31,223,962,202
[ "equipment", "structure" ]
train
[ "container_other", "door", "logo_other", "structure", "wood_processed" ]
129851880@N07
24,400,219,279
[ "equipment", "food" ]
train
[ "food", "logo_other", "tableware" ]
129851880@N07
22,974,397,320
[ "equipment", "food" ]
train
[ "clam", "food", "mushroom", "parsley", "shellfish", "tomato", "utensil", "vegetable" ]
129851880@N07
27,782,139,766
[ "equipment", "food" ]
train
[ "condiment", "meat", "plate" ]
129851880@N07
39,319,458,112
[ "equipment", "food", "material", "structure" ]
train
[ "container", "ice_cream", "logo", "material", "raw_glass", "tableware", "wood_processed" ]
129851880@N07
39,348,758,351
[ "equipment", "interior_room", "material", "structure" ]
train
[ "appliance", "kitchen", "logo_other", "raw_metal", "structure", "textile", "utensil" ]
129851880@N07
31,836,193,860
[ "equipment", "structure" ]
train
[ "logo_other", "printed_page", "wood_processed" ]
129851880@N07
23,964,691,069
[ "equipment", "food" ]
train
[ "bowl", "herb", "logo", "meatloaf", "ramen", "soup", "spaghetti" ]
129851880@N07
24,209,992,037
[ "equipment", "food", "structure" ]
train
[ "crabmeat", "lime", "seabass", "tableware", "wood_processed" ]
129851880@N07
27,753,959,206
[ "equipment", "food", "structure" ]
train
[ "baked_goods", "baklava", "cake", "tableware", "wood_processed" ]
129851880@N07
24,902,661,849
[ "equipment", "food", "material", "structure" ]
train
[ "bottle", "condiment_other", "container", "drinking_glass", "logo_other", "material", "structure", "textile", "tool", "utensil_other", "vase", "wood_processed" ]