--- 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).