coarse_label = ['aquatic mammals',
                'fish',
                'flowers',
                'food containers',
                'fruit and vegetables',
                'household electrical device',
                'household furniture',
                'insects',
                'large carnivores',
                'large man-made outdoor things',
                'large natural outdoor scenes',
                'large omnivores and herbivores',
                'medium-sized mammals',
                'non-insect invertebrates',
                'people',
                'reptiles',
                'small mammals',
                'trees',
                'vehicles 1',
                'vehicles 2']

fine_id = {'aquatic mammals': [4, 30, 55, 72, 95],
                'fish': [1, 32, 67, 73, 91],
                'flowers': [54, 62, 70, 82, 92],
                'food containers': [9, 10, 16, 28, 61],
                'fruit and vegetables': [0, 51, 53, 57, 83],
                'household electrical device': [22, 39, 40, 86, 87],
                'household furniture': [5, 20, 25, 84, 94],
                'insects': [6, 7, 14, 18, 24],
                'large carnivores': [3, 42, 43, 88, 97],
                'large man-made outdoor things': [12, 17, 37, 68, 76],
                'large natural outdoor scenes': [23, 33, 49, 60, 71],
                'large omnivores and herbivores': [15, 19, 21, 31, 38],
                'medium-sized mammals': [34, 63, 64, 66, 75],
                'non-insect invertebrates': [26, 45, 77, 79, 99],
                'people': [2, 11, 35, 46, 98],
                'reptiles': [27, 29, 44, 78, 93],
                'small mammals': [36, 50, 65, 74, 80],
                'trees': [47, 52, 56, 59, 96],
                'vehicles 1': [8, 13, 48, 58, 90],
                'vehicles 2': [41, 69, 81, 85, 89]}

fine_label = ['apples', 'aquarium fish', 'baby', 'bear', 'beaver',
              'bed', 'bee', 'beetle', 'bicycle', 'bottles',
              'bowls', 'boy', 'bridge', 'bus', 'butterfly',
              'camel', 'cans', 'castle', 'caterpillar', 'cattle',
              'chair', 'chimpanzee', 'clock', 'cloud', 'cockroach',
              'couch', 'crab', 'crocodile', 'cups', 'dinosaur',
              'dolphin', 'elephant', 'flatfish', 'forest', 'fox',
              'girl', 'hamster', 'house', 'kangaroo', 'computer keyboard',
              'lamp', 'lawn-mower', 'leopard', 'lion', 'lizard',
              'lobster', 'man', 'maple', 'motorcycle', 'mountain',
              'mouse', 'mushrooms', 'oak', 'oranges', 'orchids',
              'otter', 'palm', 'pears', 'pickup truck', 'pine',
              'plain', 'plates', 'poppies', 'porcupine', 'possum',
              'rabbit', 'raccoon', 'ray', 'road', 'rocket',
              'roses', 'sea', 'seal', 'shark', 'shrew',
              'skunk', 'skyscraper', 'snail', 'snake', 'spider',
              'squirrel', 'streetcar', 'sunflowers', 'sweet peppers', 'table',
              'tank', 'telephone', 'television', 'tiger', 'tractor',
              'train', 'trout', 'tulips', 'turtle', 'wardrobe',
              'whale', 'willow', 'wolf', 'woman', 'worm']

cifar10_labels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']
