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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
0: apple_pie
1: baby_back_ribs
2: baklava
3: beef_carpaccio
4: beef_tartare
5: beet_salad
6: beignets
7: bibimbap
8: boeuf_bourguignon
9: bread_pudding
10: breakfast_burrito
11: bruschetta
12: caesar_salad
13: cannoli
14: caprese_salad
15: carrot_cake
16: ceviche
17: cheese_plate
18: cheesecake
19: chicken_curry
20: chicken_quesadilla
21: chicken_wings
22: chocolate_cake
23: chocolate_mousse
24: churros
25: clam_chowder
26: club_sandwich
27: crab_cakes
28: creme_brulee
29: croque_madame
30: cup_cakes
31: deviled_eggs
32: donuts
33: dumplings
34: edamame
35: eggs_benedict
36: escargots
37: falafel
38: filet_mignon
39: fish_and_chips
40: foie_gras
41: french_fries
42: french_onion_soup
43: french_toast
44: fried_calamari
45: fried_rice
46: frozen_yogurt
47: garlic_bread
48: gnocchi
49: greek_salad
50: grilled_cheese_sandwich
51: grilled_salmon
52: guacamole
53: gyoza
54: hamburger
55: hot_and_sour_soup
56: hot_dog
57: huevos_rancheros
58: hummus
59: ice_cream
60: lasagna
61: lobster_bisque
62: lobster_roll_sandwich
63: macaroni_and_cheese
64: macarons
65: miso_soup
66: mussels
67: nachos
68: omelette
69: onion_rings
70: oysters
71: pad_thai
72: paella
73: pancakes
74: panna_cotta
75: peking_duck
76: pho
77: pizza
78: pork_chop
79: poutine
80: prime_rib
81: pulled_pork_sandwich
82: ramen
83: ravioli
84: red_velvet_cake
85: risotto
86: samosa
87: sashimi
88: scallops
89: seaweed_salad
90: shrimp_and_grits
91: spaghetti_bolognese
92: spaghetti_carbonara
93: spring_rolls
94: steak
95: strawberry_shortcake
96: sushi
97: tacos
98: takoyaki
99: tiramisu
100: tuna_tartare
101: waffles
splits:
- name: test
num_bytes: 1461368965.25
num_examples: 25500
- name: train
num_bytes: 4285789478.25
num_examples: 76500
download_size: 5534173074
dataset_size: 5747158443.5
---
# Dataset Card for "food102"
This is based on the [food101](https://huggingface.co/datasets/food101) dataset with an extra class generated with a Stable Diffusion model.
A detailed walk-through is available on [YouTube](https://youtu.be/sIe0eo3fYQ4).
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