TensorFlow-Keras预训练模型测试

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在tf.keras.applications里有多个预训练的模型类。这些类继承了tf.keras.Model类，使用比较方便。在实例化这些类之后，程序会自动下载参数，存储于本地硬盘。目前已经有的模型包括：

1. DenseNet121
2. DenseNet169
3. DenseNet201
4. InceptionResNetV2
5. InceptionV3
6. MobileNet
7. NASNetLarge
8. NASNetMobile
9. ResNet50
10. VGG16
11. VGG19
12. Xception

这些人工神经网络模型的类都有各自对应的预处理函数。我在ILSVRC2012的验证集上对各种网络进行了测试。对图像的预处理流程如下：

1. h=图像的高，w=图像的宽。
2. 边长=min(h, w)，偏置项=abs(h-w)//2。
3. 如果h>w，裁剪后的图像=原图像[偏置项：偏置项+边长，边长]，转到第5步；否则转到第4步。
4. 裁剪后的图像=原图像[边长，偏置项：偏置项+边长]。
5. 将裁剪后的图像放缩到模型所需要的大小。
   
6. 用对应的preprocess_input函数进行处理。

测试结果如下图所示

大部分预训练模型的测试结果差于论文所声称的结果。只有Inception-ResNet-v2的测试结果好于原论文。这其中的原因有待考究，有可能是我对测试图像的预处理有偏差，或者预训练模型并非官方提供。

各种神经网络模型的论文错误率是取各自多种变体中最高的一个。MobileNet、NASNetLarge和Xception论文数据暂缺。

下面是测试所用的源代码 

# 导入所需模块
import tensorflow as tf 
import os
import tensorflow

import csv
from Nclasses import labels
import numpy as np 
import utils
import matplotlib.image as mpimg
import matplotlib.pyplot as plt 
import cv2
import time


# 导入预处理函数
# preprocess_input = tensorflow.keras.applications.resnet50.preprocess_input
# preprocess_input = tf.keras.applications.densenet.preprocess_input
# preprocess_input = tf.keras.applications.inception_resnet_v2.preprocess_input
# preprocess_input = tf.keras.applications.inception_v3.preprocess_input
# preprocess_input = tf.keras.applications.mobilenet.preprocess_input
preprocess_input = tf.keras.applications.xception.preprocess_input

# 导入模型类
# ResNet50 = tensorflow.keras.applications.ResNet50
# DenseNet121 = tf.keras.applications.DenseNet121
# DenseNet169 = tf.keras.applications.DenseNet169
# DenseNet201 = tf.keras.applications.DenseNet201
# InceptionResNetV2 = tf.keras.applications.InceptionResNetV2
# InceptionV3 = tf.keras.applications.InceptionV3
# MobileNet = tf.keras.applications.MobileNet
# NASNetLarge = tf.keras.applications.NASNetLarge
# VGG16 = tf.keras.applications.VGG16
# VGG19 = tf.keras.applications.VGG19
Xception = tf.keras.applications.Xception

# 导入image子模块
image = tf.keras.preprocessing.image

# 获得验证集图像地址和标签
image_paths, image_labels = utils.get_paths_labels()

# 实例化模型类
# resnet50 = ResNet50()
# model = DenseNet121()
# model = DenseNet169()
# model = DenseNet201()
# model = InceptionResNetV2()
# model = InceptionV3()
# model = MobileNet()
# model = NASNetLarge()
# model = VGG16()
# model = VGG19()
model = Xception()

# 记录top1、top5正确数目
top1_cnt = 0
top5_cnt = 0

# 用于记录测试用时
begin_time = time.clock()

# 记录总图像数目
cnt = 0

for image_path, image_label in zip(image_paths, image_labels):
	# 预处理开始
	raw_image = image.img_to_array(image.load_img(image_path))
	image_copy = np.copy(raw_image)
	shape = image_copy.shape
	h, w = shape[0], shape[1]
	if h > w: 
		h_start = (h - w) // 2
		image_copy = image_copy[h_start:h_start+w, :]
	else:
		w_start = (w - h) // 2
		image_copy = image_copy[:, w_start:w_start+h]
	image_resized = cv2.resize(image_copy, (299, 299), interpolation=cv2.INTER_CUBIC)
	processed_image = preprocess_input(image_resized).reshape((1, 299, 299, -1))

	# 预处理结束，用模型实例进行预测
	res = model.predict(processed_image)
	
	# 处理得到的结果，与标签进行对比
	# argsort()是numpy.ndarray的成员函数，从小到大排序，返回排序好的各元素对应的排序前的下标
	top5 = res.argsort().squeeze()[-1:-6:-1]
	
	if image_label in top5:
		top5_cnt += 1

	if image_label == top5[0]:
		top1_cnt += 1

	cnt += 1

	# 每10000张图片，输出一次测试耗时
	if cnt % 10000 == 0:
		end_time = time.clock()
		print('%d steps: %f' % (cnt, end_time - begin_time))
		begin_time = end_time

print('top1 accuracy:', top1_cnt / 50000)
print('top5 accuracy:', top5_cnt / 50000)
	

下面是utils.py里的代码，用于返回图像地址和标签：

import numpy as np 
import csv
from Nclasses import labels
import os



def get_paths_labels():
	# 数据集地址
	imagenet_path = r"D:\ILSVRC2012"
	# 获取训练图像文件夹名，即原始标签
	raw_labels = os.listdir(os.path.join(imagenet_path, 'img_train'))

	# 将原始标签映射到0-999
	label_dict = {}
	num_labels = np.arange(1000)
	for raw_label, num_label in zip(raw_labels, num_labels):
		label_dict[raw_label] = num_label 

	# 从csv文件中读取每张图像的地址和标签。可自行处理数据集得到这样一个csv文件。
	with open(os.path.join(imagenet_path, 'val_images.csv'), 'r') as csvfile:
		csvfile.readline()
		lines = csvfile.readlines()
		image_paths = []
		image_labels = []
		for line in lines:
			image_path, image_label = line.strip().split(',')
			image_paths.append(image_path)
			image_labels.append(label_dict[image_label])
	return image_paths, image_labels

下面是Nclasses.py的代码，将0-999的索引值映射到真实标签：

#!/usr/bin/python
#coding:utf-8
# 每个图像的真实标签，以及对应的索引值
labels = {
 0: 'tench\n Tinca tinca',
 1: 'goldfish\n Carassius auratus',
 2: 'great white shark\n white shark\n man-eater\n man-eating shark\n Carcharodon carcharias',
 3: 'tiger shark\n Galeocerdo cuvieri',
 4: 'hammerhead\n hammerhead shark',
 5: 'electric ray\n crampfish\n numbfish\n torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich\n Struthio camelus',
 10: 'brambling\n Fringilla montifringilla',
 11: 'goldfinch\n Carduelis carduelis',
 12: 'house finch\n linnet\n Carpodacus mexicanus',
 13: 'junco\n snowbird',
 14: 'indigo bunting\n indigo finch\n indigo bird\n Passerina cyanea',
 15: 'robin\n American robin\n Turdus migratorius',
 16: 'bulbul',
 17: 'jay',
 18: 'magpie',
 19: 'chickadee',
 20: 'water ouzel\n dipper',
 21: 'kite',
 22: 'bald eagle\n American eagle\n Haliaeetus leucocephalus',
 23: 'vulture',
 24: 'great grey owl\n great gray owl\n Strix nebulosa',
 25: 'European fire salamander\n Salamandra salamandra',
 26: 'common newt\n Triturus vulgaris',
 27: 'eft',
 28: 'spotted salamander\n Ambystoma maculatum',
 29: 'axolotl\n mud puppy\n Ambystoma mexicanum',
 30: 'bullfrog\n Rana catesbeiana',
 31: 'tree frog\n tree-frog',
 32: 'tailed frog\n bell toad\n ribbed toad\n tailed toad\n Ascaphus trui',
 33: 'loggerhead\n loggerhead turtle\n Caretta caretta',
 34: 'leatherback turtle\n leatherback\n leathery turtle\n Dermochelys coriacea',
 35: 'mud turtle',
 36: 'terrapin',
 37: 'box turtle\n box tortoise',
 38: 'banded gecko',
 39: 'common iguana\n iguana\n Iguana iguana',
 40: 'American chameleon\n anole\n Anolis carolinensis',
 41: 'whiptail\n whiptail lizard',
 42: 'agama',
 43: 'frilled lizard\n Chlamydosaurus kingi',
 44: 'alligator lizard',
 45: 'Gila monster\n Heloderma suspectum',
 46: 'green lizard\n Lacerta viridis',
 47: 'African chameleon\n Chamaeleo chamaeleon',
 48: 'Komodo dragon\n Komodo lizard\n dragon lizard\n giant lizard\n Varanus komodoensis',
 49: 'African crocodile\n Nile crocodile\n Crocodylus niloticus',
 50: 'American alligator\n Alligator mississipiensis',
 51: 'triceratops',
 52: 'thunder snake\n worm snake\n Carphophis amoenus',
 53: 'ringneck snake\n ring-necked snake\n ring snake',
 54: 'hognose snake\n puff adder\n sand viper',
 55: 'green snake\n grass snake',
 56: 'king snake\n kingsnake',
 57: 'garter snake\n grass snake',
 58: 'water snake',
 59: 'vine snake',
 60: 'night snake\n Hypsiglena torquata',
 61: 'boa constrictor\n Constrictor constrictor',
 62: 'rock python\n rock snake\n Python sebae',
 63: 'Indian cobra\n Naja naja',
 64: 'green mamba',
 65: 'sea snake',
 66: 'horned viper\n cerastes\n sand viper\n horned asp\n Cerastes cornutus',
 67: 'diamondback\n diamondback rattlesnake\n Crotalus adamanteus',
 68: 'sidewinder\n horned rattlesnake\n Crotalus cerastes',
 69: 'trilobite',
 70: 'harvestman\n daddy longlegs\n Phalangium opilio',
 71: 'scorpion',
 72: 'black and gold garden spider\n Argiope aurantia',
 73: 'barn spider\n Araneus cavaticus',
 74: 'garden spider\n Aranea diademata',
 75: 'black widow\n Latrodectus mactans',
 76: 'tarantula',
 77: 'wolf spider\n hunting spider',
 78: 'tick',
 79: 'centipede',
 80: 'black grouse',
 81: 'ptarmigan',
 82: 'ruffed grouse\n partridge\n Bonasa umbellus',
 83: 'prairie chicken\n prairie grouse\n prairie fowl',
 84: 'peacock',
 85: 'quail',
 86: 'partridge',
 87: 'African grey\n African gray\n Psittacus erithacus',
 88: 'macaw',
 89: 'sulphur-crested cockatoo\n Kakatoe galerita\n Cacatua galerita',
 90: 'lorikeet',
 91: 'coucal',
 92: 'bee eater',
 93: 'hornbill',
 94: 'hummingbird',
 95: 'jacamar',
 96: 'toucan',
 97: 'drake',
 98: 'red-breasted merganser\n Mergus serrator',
 99: 'goose',
 100: 'black swan\n Cygnus atratus',
 101: 'tusker',
 102: 'echidna\n spiny anteater\n anteater',
 103: 'platypus\n duckbill\n duckbilled platypus\n duck-billed platypus\n Ornithorhynchus anatinus',
 104: 'wallaby\n brush kangaroo',
 105: 'koala\n koala bear\n kangaroo bear\n native bear\n Phascolarctos cinereus',
 106: 'wombat',
 107: 'jellyfish',
 108: 'sea anemone\n anemone',
 109: 'brain coral',
 110: 'flatworm\n platyhelminth',
 111: 'nematode\n nematode worm\n roundworm',
 112: 'conch',
 113: 'snail',
 114: 'slug',
 115: 'sea slug\n nudibranch',
 116: 'chiton\n coat-of-mail shell\n sea cradle\n polyplacophore',
 117: 'chambered nautilus\n pearly nautilus\n nautilus',
 118: 'Dungeness crab\n Cancer magister',
 119: 'rock crab\n Cancer irroratus',
 120: 'fiddler crab',
 121: 'king crab\n Alaska crab\n Alaskan king crab\n Alaska king crab\n Paralithodes camtschatica',
 122: 'American lobster\n Northern lobster\n Maine lobster\n Homarus americanus',
 123: 'spiny lobster\n langouste\n rock lobster\n crawfish\n crayfish\n sea crawfish',
 124: 'crayfish\n crawfish\n crawdad\n crawdaddy',
 125: 'hermit crab',
 126: 'isopod',
 127: 'white stork\n Ciconia ciconia',
 128: 'black stork\n Ciconia nigra',
 129: 'spoonbill',
 130: 'flamingo',
 131: 'little blue heron\n Egretta caerulea',
 132: 'American egret\n great white heron\n Egretta albus',
 133: 'bittern',
 134: 'crane',
 135: 'limpkin\n Aramus pictus',
 136: 'European gallinule\n Porphyrio porphyrio',
 137: 'American coot\n marsh hen\n mud hen\n water hen\n Fulica americana',
 138: 'bustard',
 139: 'ruddy turnstone\n Arenaria interpres',
 140: 'red-backed sandpiper\n dunlin\n Erolia alpina',
 141: 'redshank\n Tringa totanus',
 142: 'dowitcher',
 143: 'oystercatcher\n oyster catcher',
 144: 'pelican',
 145: 'king penguin\n Aptenodytes patagonica',
 146: 'albatross\n mollymawk',
 147: 'grey whale\n gray whale\n devilfish\n Eschrichtius gibbosus\n Eschrichtius robustus',
 148: 'killer whale\n killer\n orca\n grampus\n sea wolf\n Orcinus orca',
 149: 'dugong\n Dugong dugon',
 150: 'sea lion',
 151: 'Chihuahua',
 152: 'Japanese spaniel',
 153: 'Maltese dog\n Maltese terrier\n Maltese',
 154: 'Pekinese\n Pekingese\n Peke',
 155: 'Shih-Tzu',
 156: 'Blenheim spaniel',
 157: 'papillon',
 158: 'toy terrier',
 159: 'Rhodesian ridgeback',
 160: 'Afghan hound\n Afghan',
 161: 'basset\n basset hound',
 162: 'beagle',
 163: 'bloodhound\n sleuthhound',
 164: 'bluetick',
 165: 'black-and-tan coonhound',
 166: 'Walker hound\n Walker foxhound',
 167: 'English foxhound',
 168: 'redbone',
 169: 'borzoi\n Russian wolfhound',
 170: 'Irish wolfhound',
 171: 'Italian greyhound',
 172: 'whippet',
 173: 'Ibizan hound\n Ibizan Podenco',
 174: 'Norwegian elkhound\n elkhound',
 175: 'otterhound\n otter hound',
 176: 'Saluki\n gazelle hound',
 177: 'Scottish deerhound\n deerhound',
 178: 'Weimaraner',
 179: 'Staffordshire bullterrier\n Staffordshire bull terrier',
 180: 'American Staffordshire terrier\n Staffordshire terrier\n American pit bull terrier\n pit bull terrier',
 181: 'Bedlington terrier',
 182: 'Border terrier',
 183: 'Kerry blue terrier',
 184: 'Irish terrier',
 185: 'Norfolk terrier',
 186: 'Norwich terrier',
 187: 'Yorkshire terrier',
 188: 'wire-haired fox terrier',
 189: 'Lakeland terrier',
 190: 'Sealyham terrier\n Sealyham',
 191: 'Airedale\n Airedale terrier',
 192: 'cairn\n cairn terrier',
 193: 'Australian terrier',
 194: 'Dandie Dinmont\n Dandie Dinmont terrier',
 195: 'Boston bull\n Boston terrier',
 196: 'miniature schnauzer',
 197: 'giant schnauzer',
 198: 'standard schnauzer',
 199: 'Scotch terrier\n Scottish terrier\n Scottie',
 200: 'Tibetan terrier\n chrysanthemum dog',
 201: 'silky terrier\n Sydney silky',
 202: 'soft-coated wheaten terrier',
 203: 'West Highland white terrier',
 204: 'Lhasa\n Lhasa apso',
 205: 'flat-coated retriever',
 206: 'curly-coated retriever',
 207: 'golden retriever',
 208: 'Labrador retriever',
 209: 'Chesapeake Bay retriever',
 210: 'German short-haired pointer',
 211: 'vizsla\n Hungarian pointer',
 212: 'English setter',
 213: 'Irish setter\n red setter',
 214: 'Gordon setter',
 215: 'Brittany spaniel',
 216: 'clumber\n clumber spaniel',
 217: 'English springer\n English springer spaniel',
 218: 'Welsh springer spaniel',
 219: 'cocker spaniel\n English cocker spaniel\n cocker',
 220: 'Sussex spaniel',
 221: 'Irish water spaniel',
 222: 'kuvasz',
 223: 'schipperke',
 224: 'groenendael',
 225: 'malinois',
 226: 'briard',
 227: 'kelpie',
 228: 'komondor',
 229: 'Old English sheepdog\n bobtail',
 230: 'Shetland sheepdog\n Shetland sheep dog\n Shetland',
 231: 'collie',
 232: 'Border collie',
 233: 'Bouvier des Flandres\n Bouviers des Flandres',
 234: 'Rottweiler',
 235: 'German shepherd\n German shepherd dog\n German police dog\n alsatian',
 236: 'Doberman\n Doberman pinscher',
 237: 'miniature pinscher',
 238: 'Greater Swiss Mountain dog',
 239: 'Bernese mountain dog',
 240: 'Appenzeller',
 241: 'EntleBucher',
 242: 'boxer',
 243: 'bull mastiff',
 244: 'Tibetan mastiff',
 245: 'French bulldog',
 246: 'Great Dane',
 247: 'Saint Bernard\n St Bernard',
 248: 'Eskimo dog\n husky',
 249: 'malamute\n malemute\n Alaskan malamute',
 250: 'Siberian husky',
 251: 'dalmatian\n coach dog\n carriage dog',
 252: 'affenpinscher\n monkey pinscher\n monkey dog',
 253: 'basenji',
 254: 'pug\n pug-dog',
 255: 'Leonberg',
 256: 'Newfoundland\n Newfoundland dog',
 257: 'Great Pyrenees',
 258: 'Samoyed\n Samoyede',
 259: 'Pomeranian',
 260: 'chow\n chow chow',
 261: 'keeshond',
 262: 'Brabancon griffon',
 263: 'Pembroke\n Pembroke Welsh corgi',
 264: 'Cardigan\n Cardigan Welsh corgi',
 265: 'toy poodle',
 266: 'miniature poodle',
 267: 'standard poodle',
 268: 'Mexican hairless',
 269: 'timber wolf\n grey wolf\n gray wolf\n Canis lupus',
 270: 'white wolf\n Arctic wolf\n Canis lupus tundrarum',
 271: 'red wolf\n maned wolf\n Canis rufus\n Canis niger',
 272: 'coyote\n prairie wolf\n brush wolf\n Canis latrans',
 273: 'dingo\n warrigal\n warragal\n Canis dingo',
 274: 'dhole\n Cuon alpinus',
 275: 'African hunting dog\n hyena dog\n Cape hunting dog\n Lycaon pictus',
 276: 'hyena\n hyaena',
 277: 'red fox\n Vulpes vulpes',
 278: 'kit fox\n Vulpes macrotis',
 279: 'Arctic fox\n white fox\n Alopex lagopus',
 280: 'grey fox\n gray fox\n Urocyon cinereoargenteus',
 281: 'tabby\n tabby cat',
 282: 'tiger cat',
 283: 'Persian cat',
 284: 'Siamese cat\n Siamese',
 285: 'Egyptian cat',
 286: 'cougar\n puma\n catamount\n mountain lion\n painter\n panther\n Felis concolor',
 287: 'lynx\n catamount',
 288: 'leopard\n Panthera pardus',
 289: 'snow leopard\n ounce\n Panthera uncia',
 290: 'jaguar\n panther\n Panthera onca\n Felis onca',
 291: 'lion\n king of beasts\n Panthera leo',
 292: 'tiger\n Panthera tigris',
 293: 'cheetah\n chetah\n Acinonyx jubatus',
 294: 'brown bear\n bruin\n Ursus arctos',
 295: 'American black bear\n black bear\n Ursus americanus\n Euarctos americanus',
 296: 'ice bear\n polar bear\n Ursus Maritimus\n Thalarctos maritimus',
 297: 'sloth bear\n Melursus ursinus\n Ursus ursinus',
 298: 'mongoose',
 299: 'meerkat\n mierkat',
 300: 'tiger beetle',
 301: 'ladybug\n ladybeetle\n lady beetle\n ladybird\n ladybird beetle',
 302: 'ground beetle\n carabid beetle',
 303: 'long-horned beetle\n longicorn\n longicorn beetle',
 304: 'leaf beetle\n chrysomelid',
 305: 'dung beetle',
 306: 'rhinoceros beetle',
 307: 'weevil',
 308: 'fly',
 309: 'bee',
 310: 'ant\n emmet\n pismire',
 311: 'grasshopper\n hopper',
 312: 'cricket',
 313: 'walking stick\n walkingstick\n stick insect',
 314: 'cockroach\n roach',
 315: 'mantis\n mantid',
 316: 'cicada\n cicala',
 317: 'leafhopper',
 318: 'lacewing\n lacewing fly',
 319: "dragonfly\n darning needle\n devil's darning needle\n sewing needle\n snake feeder\n snake doctor\n mosquito hawk\n skeeter hawk",
 320: 'damselfly',
 321: 'admiral',
 322: 'ringlet\n ringlet butterfly',
 323: 'monarch\n monarch butterfly\n milkweed butterfly\n Danaus plexippus',
 324: 'cabbage butterfly',
 325: 'sulphur butterfly\n sulfur butterfly',
 326: 'lycaenid\n lycaenid butterfly',
 327: 'starfish\n sea star',
 328: 'sea urchin',
 329: 'sea cucumber\n holothurian',
 330: 'wood rabbit\n cottontail\n cottontail rabbit',
 331: 'hare',
 332: 'Angora\n Angora rabbit',
 333: 'hamster',
 334: 'porcupine\n hedgehog',
 335: 'fox squirrel\n eastern fox squirrel\n Sciurus niger',
 336: 'marmot',
 337: 'beaver',
 338: 'guinea pig\n Cavia cobaya',
 339: 'sorrel',
 340: 'zebra',
 341: 'hog\n pig\n grunter\n squealer\n Sus scrofa',
 342: 'wild boar\n boar\n Sus scrofa',
 343: 'warthog',
 344: 'hippopotamus\n hippo\n river horse\n Hippopotamus amphibius',
 345: 'ox',
 346: 'water buffalo\n water ox\n Asiatic buffalo\n Bubalus bubalis',
 347: 'bison',
 348: 'ram\n tup',
 349: 'bighorn\n bighorn sheep\n cimarron\n Rocky Mountain bighorn\n Rocky Mountain sheep\n Ovis canadensis',
 350: 'ibex\n Capra ibex',
 351: 'hartebeest',
 352: 'impala\n Aepyceros melampus',
 353: 'gazelle',
 354: 'Arabian camel\n dromedary\n Camelus dromedarius',
 355: 'llama',
 356: 'weasel',
 357: 'mink',
 358: 'polecat\n fitch\n foulmart\n foumart\n Mustela putorius',
 359: 'black-footed ferret\n ferret\n Mustela nigripes',
 360: 'otter',
 361: 'skunk\n polecat\n wood pussy',
 362: 'badger',
 363: 'armadillo',
 364: 'three-toed sloth\n ai\n Bradypus tridactylus',
 365: 'orangutan\n orang\n orangutang\n Pongo pygmaeus',
 366: 'gorilla\n Gorilla gorilla',
 367: 'chimpanzee\n chimp\n Pan troglodytes',
 368: 'gibbon\n Hylobates lar',
 369: 'siamang\n Hylobates syndactylus\n Symphalangus syndactylus',
 370: 'guenon\n guenon monkey',
 371: 'patas\n hussar monkey\n Erythrocebus patas',
 372: 'baboon',
 373: 'macaque',
 374: 'langur',
 375: 'colobus\n colobus monkey',
 376: 'proboscis monkey\n Nasalis larvatus',
 377: 'marmoset',
 378: 'capuchin\n ringtail\n Cebus capucinus',
 379: 'howler monkey\n howler',
 380: 'titi\n titi monkey',
 381: 'spider monkey\n Ateles geoffroyi',
 382: 'squirrel monkey\n Saimiri sciureus',
 383: 'Madagascar cat\n ring-tailed lemur\n Lemur catta',
 384: 'indri\n indris\n Indri indri\n Indri brevicaudatus',
 385: 'Indian elephant\n Elephas maximus',
 386: 'African elephant\n Loxodonta africana',
 387: 'lesser panda\n red panda\n panda\n bear cat\n cat bear\n Ailurus fulgens',
 388: 'giant panda\n panda\n panda bear\n coon bear\n Ailuropoda melanoleuca',
 389: 'barracouta\n snoek',
 390: 'eel',
 391: 'coho\n cohoe\n coho salmon\n blue jack\n silver salmon\n Oncorhynchus kisutch',
 392: 'rock beauty\n Holocanthus tricolor',
 393: 'anemone fish',
 394: 'sturgeon',
 395: 'gar\n garfish\n garpike\n billfish\n Lepisosteus osseus',
 396: 'lionfish',
 397: 'puffer\n pufferfish\n blowfish\n globefish',
 398: 'abacus',
 399: 'abaya',
 400: "academic gown\n academic robe\n judge's robe",
 401: 'accordion\n piano accordion\n squeeze box',
 402: 'acoustic guitar',
 403: 'aircraft carrier\n carrier\n flattop\n attack aircraft carrier',
 404: 'airliner',
 405: 'airship\n dirigible',
 406: 'altar',
 407: 'ambulance',
 408: 'amphibian\n amphibious vehicle',
 409: 'analog clock',
 410: 'apiary\n bee house',
 411: 'apron',
 412: 'ashcan\n trash can\n garbage can\n wastebin\n ash bin\n ash-bin\n ashbin\n dustbin\n trash barrel\n trash bin',
 413: 'assault rifle\n assault gun',
 414: 'backpack\n back pack\n knapsack\n packsack\n rucksack\n haversack',
 415: 'bakery\n bakeshop\n bakehouse',
 416: 'balance beam\n beam',
 417: 'balloon',
 418: 'ballpoint\n ballpoint pen\n ballpen\n Biro',
 419: 'Band Aid',
 420: 'banjo',
 421: 'bannister\n banister\n balustrade\n balusters\n handrail',
 422: 'barbell',
 423: 'barber chair',
 424: 'barbershop',
 425: 'barn',
 426: 'barometer',
 427: 'barrel\n cask',
 428: 'barrow\n garden cart\n lawn cart\n wheelbarrow',
 429: 'baseball',
 430: 'basketball',
 431: 'bassinet',
 432: 'bassoon',
 433: 'bathing cap\n swimming cap',
 434: 'bath towel',
 435: 'bathtub\n bathing tub\n bath\n tub',
 436: 'beach wagon\n station wagon\n wagon\n estate car\n beach waggon\n station waggon\n waggon',
 437: 'beacon\n lighthouse\n beacon light\n pharos',
 438: 'beaker',
 439: 'bearskin\n busby\n shako',
 440: 'beer bottle',
 441: 'beer glass',
 442: 'bell cote\n bell cot',
 443: 'bib',
 444: 'bicycle-built-for-two\n tandem bicycle\n tandem',
 445: 'bikini\n two-piece',
 446: 'binder\n ring-binder',
 447: 'binoculars\n field glasses\n opera glasses',
 448: 'birdhouse',
 449: 'boathouse',
 450: 'bobsled\n bobsleigh\n bob',
 451: 'bolo tie\n bolo\n bola tie\n bola',
 452: 'bonnet\n poke bonnet',
 453: 'bookcase',
 454: 'bookshop\n bookstore\n bookstall',
 455: 'bottlecap',
 456: 'bow',
 457: 'bow tie\n bow-tie\n bowtie',
 458: 'brass\n memorial tablet\n plaque',
 459: 'brassiere\n bra\n bandeau',
 460: 'breakwater\n groin\n groyne\n mole\n bulwark\n seawall\n jetty',
 461: 'breastplate\n aegis\n egis',
 462: 'broom',
 463: 'bucket\n pail',
 464: 'buckle',
 465: 'bulletproof vest',
 466: 'bullet train\n bullet',
 467: 'butcher shop\n meat market',
 468: 'cab\n hack\n taxi\n taxicab',
 469: 'caldron\n cauldron',
 470: 'candle\n taper\n wax light',
 471: 'cannon',
 472: 'canoe',
 473: 'can opener\n tin opener',
 474: 'cardigan',
 475: 'car mirror',
 476: 'carousel\n carrousel\n merry-go-round\n roundabout\n whirligig',
 477: "carpenter's kit\n tool kit",
 478: 'carton',
 479: 'car wheel',
 480: 'cash machine\n cash dispenser\n automated teller machine\n automatic teller machine\n automated teller\n automatic teller\n ATM',
 481: 'cassette',
 482: 'cassette player',
 483: 'castle',
 484: 'catamaran',
 485: 'CD player',
 486: 'cello\n violoncello',
 487: 'cellular telephone\n cellular phone\n cellphone\n cell\n mobile phone',
 488: 'chain',
 489: 'chainlink fence',
 490: 'chain mail\n ring mail\n mail\n chain armor\n chain armour\n ring armor\n ring armour',
 491: 'chain saw\n chainsaw',
 492: 'chest',
 493: 'chiffonier\n commode',
 494: 'chime\n bell\n gong',
 495: 'china cabinet\n china closet',
 496: 'Christmas stocking',
 497: 'church\n church building',
 498: 'cinema\n movie theater\n movie theatre\n movie house\n picture palace',
 499: 'cleaver\n meat cleaver\n chopper',
 500: 'cliff dwelling',
 501: 'cloak',
 502: 'clog\n geta\n patten\n sabot',
 503: 'cocktail shaker',
 504: 'coffee mug',
 505: 'coffeepot',
 506: 'coil\n spiral\n volute\n whorl\n helix',
 507: 'combination lock',
 508: 'computer keyboard\n keypad',
 509: 'confectionery\n confectionary\n candy store',
 510: 'container ship\n containership\n container vessel',
 511: 'convertible',
 512: 'corkscrew\n bottle screw',
 513: 'cornet\n horn\n trumpet\n trump',
 514: 'cowboy boot',
 515: 'cowboy hat\n ten-gallon hat',
 516: 'cradle',
 517: 'crane',
 518: 'crash helmet',
 519: 'crate',
 520: 'crib\n cot',
 521: 'Crock Pot',
 522: 'croquet ball',
 523: 'crutch',
 524: 'cuirass',
 525: 'dam\n dike\n dyke',
 526: 'desk',
 527: 'desktop computer',
 528: 'dial telephone\n dial phone',
 529: 'diaper\n nappy\n napkin',
 530: 'digital clock',
 531: 'digital watch',
 532: 'dining table\n board',
 533: 'dishrag\n dishcloth',
 534: 'dishwasher\n dish washer\n dishwashing machine',
 535: 'disk brake\n disc brake',
 536: 'dock\n dockage\n docking facility',
 537: 'dogsled\n dog sled\n dog sleigh',
 538: 'dome',
 539: 'doormat\n welcome mat',
 540: 'drilling platform\n offshore rig',
 541: 'drum\n membranophone\n tympan',
 542: 'drumstick',
 543: 'dumbbell',
 544: 'Dutch oven',
 545: 'electric fan\n blower',
 546: 'electric guitar',
 547: 'electric locomotive',
 548: 'entertainment center',
 549: 'envelope',
 550: 'espresso maker',
 551: 'face powder',
 552: 'feather boa\n boa',
 553: 'file\n file cabinet\n filing cabinet',
 554: 'fireboat',
 555: 'fire engine\n fire truck',
 556: 'fire screen\n fireguard',
 557: 'flagpole\n flagstaff',
 558: 'flute\n transverse flute',
 559: 'folding chair',
 560: 'football helmet',
 561: 'forklift',
 562: 'fountain',
 563: 'fountain pen',
 564: 'four-poster',
 565: 'freight car',
 566: 'French horn\n horn',
 567: 'frying pan\n frypan\n skillet',
 568: 'fur coat',
 569: 'garbage truck\n dustcart',
 570: 'gasmask\n respirator\n gas helmet',
 571: 'gas pump\n gasoline pump\n petrol pump\n island dispenser',
 572: 'goblet',
 573: 'go-kart',
 574: 'golf ball',
 575: 'golfcart\n golf cart',
 576: 'gondola',
 577: 'gong\n tam-tam',
 578: 'gown',
 579: 'grand piano\n grand',
 580: 'greenhouse\n nursery\n glasshouse',
 581: 'grille\n radiator grille',
 582: 'grocery store\n grocery\n food market\n market',
 583: 'guillotine',
 584: 'hair slide',
 585: 'hair spray',
 586: 'half track',
 587: 'hammer',
 588: 'hamper',
 589: 'hand blower\n blow dryer\n blow drier\n hair dryer\n hair drier',
 590: 'hand-held computer\n hand-held microcomputer',
 591: 'handkerchief\n hankie\n hanky\n hankey',
 592: 'hard disc\n hard disk\n fixed disk',
 593: 'harmonica\n mouth organ\n harp\n mouth harp',
 594: 'harp',
 595: 'harvester\n reaper',
 596: 'hatchet',
 597: 'holster',
 598: 'home theater\n home theatre',
 599: 'honeycomb',
 600: 'hook\n claw',
 601: 'hoopskirt\n crinoline',
 602: 'horizontal bar\n high bar',
 603: 'horse cart\n horse-cart',
 604: 'hourglass',
 605: 'iPod',
 606: 'iron\n smoothing iron',
 607: "jack-o'-lantern",
 608: 'jean\n blue jean\n denim',
 609: 'jeep\n landrover',
 610: 'jersey\n T-shirt\n tee shirt',
 611: 'jigsaw puzzle',
 612: 'jinrikisha\n ricksha\n rickshaw',
 613: 'joystick',
 614: 'kimono',
 615: 'knee pad',
 616: 'knot',
 617: 'lab coat\n laboratory coat',
 618: 'ladle',
 619: 'lampshade\n lamp shade',
 620: 'laptop\n laptop computer',
 621: 'lawn mower\n mower',
 622: 'lens cap\n lens cover',
 623: 'letter opener\n paper knife\n paperknife',
 624: 'library',
 625: 'lifeboat',
 626: 'lighter\n light\n igniter\n ignitor',
 627: 'limousine\n limo',
 628: 'liner\n ocean liner',
 629: 'lipstick\n lip rouge',
 630: 'Loafer',
 631: 'lotion',
 632: 'loudspeaker\n speaker\n speaker unit\n loudspeaker system\n speaker system',
 633: "loupe\n jeweler's loupe",
 634: 'lumbermill\n sawmill',
 635: 'magnetic compass',
 636: 'mailbag\n postbag',
 637: 'mailbox\n letter box',
 638: 'maillot',
 639: 'maillot\n tank suit',
 640: 'manhole cover',
 641: 'maraca',
 642: 'marimba\n xylophone',
 643: 'mask',
 644: 'matchstick',
 645: 'maypole',
 646: 'maze\n labyrinth',
 647: 'measuring cup',
 648: 'medicine chest\n medicine cabinet',
 649: 'megalith\n megalithic structure',
 650: 'microphone\n mike',
 651: 'microwave\n microwave oven',
 652: 'military uniform',
 653: 'milk can',
 654: 'minibus',
 655: 'miniskirt\n mini',
 656: 'minivan',
 657: 'missile',
 658: 'mitten',
 659: 'mixing bowl',
 660: 'mobile home\n manufactured home',
 661: 'Model T',
 662: 'modem',
 663: 'monastery',
 664: 'monitor',
 665: 'moped',
 666: 'mortar',
 667: 'mortarboard',
 668: 'mosque',
 669: 'mosquito net',
 670: 'motor scooter\n scooter',
 671: 'mountain bike\n all-terrain bike\n off-roader',
 672: 'mountain tent',
 673: 'mouse\n computer mouse',
 674: 'mousetrap',
 675: 'moving van',
 676: 'muzzle',
 677: 'nail',
 678: 'neck brace',
 679: 'necklace',
 680: 'nipple',
 681: 'notebook\n notebook computer',
 682: 'obelisk',
 683: 'oboe\n hautboy\n hautbois',
 684: 'ocarina\n sweet potato',
 685: 'odometer\n hodometer\n mileometer\n milometer',
 686: 'oil filter',
 687: 'organ\n pipe organ',
 688: 'oscilloscope\n scope\n cathode-ray oscilloscope\n CRO',
 689: 'overskirt',
 690: 'oxcart',
 691: 'oxygen mask',
 692: 'packet',
 693: 'paddle\n boat paddle',
 694: 'paddlewheel\n paddle wheel',
 695: 'padlock',
 696: 'paintbrush',
 697: "pajama\n pyjama\n pj's\n jammies",
 698: 'palace',
 699: 'panpipe\n pandean pipe\n syrinx',
 700: 'paper towel',
 701: 'parachute\n chute',
 702: 'parallel bars\n bars',
 703: 'park bench',
 704: 'parking meter',
 705: 'passenger car\n coach\n carriage',
 706: 'patio\n terrace',
 707: 'pay-phone\n pay-station',
 708: 'pedestal\n plinth\n footstall',
 709: 'pencil box\n pencil case',
 710: 'pencil sharpener',
 711: 'perfume\n essence',
 712: 'Petri dish',
 713: 'photocopier',
 714: 'pick\n plectrum\n plectron',
 715: 'pickelhaube',
 716: 'picket fence\n paling',
 717: 'pickup\n pickup truck',
 718: 'pier',
 719: 'piggy bank\n penny bank',
 720: 'pill bottle',
 721: 'pillow',
 722: 'ping-pong ball',
 723: 'pinwheel',
 724: 'pirate\n pirate ship',
 725: 'pitcher\n ewer',
 726: "plane\n carpenter's plane\n woodworking plane",
 727: 'planetarium',
 728: 'plastic bag',
 729: 'plate rack',
 730: 'plow\n plough',
 731: "plunger\n plumber's helper",
 732: 'Polaroid camera\n Polaroid Land camera',
 733: 'pole',
 734: 'police van\n police wagon\n paddy wagon\n patrol wagon\n wagon\n black Maria',
 735: 'poncho',
 736: 'pool table\n billiard table\n snooker table',
 737: 'pop bottle\n soda bottle',
 738: 'pot\n flowerpot',
 739: "potter's wheel",
 740: 'power drill',
 741: 'prayer rug\n prayer mat',
 742: 'printer',
 743: 'prison\n prison house',
 744: 'projectile\n missile',
 745: 'projector',
 746: 'puck\n hockey puck',
 747: 'punching bag\n punch bag\n punching ball\n punchball',
 748: 'purse',
 749: 'quill\n quill pen',
 750: 'quilt\n comforter\n comfort\n puff',
 751: 'racer\n race car\n racing car',
 752: 'racket\n racquet',
 753: 'radiator',
 754: 'radio\n wireless',
 755: 'radio telescope\n radio reflector',
 756: 'rain barrel',
 757: 'recreational vehicle\n RV\n R.V.',
 758: 'reel',
 759: 'reflex camera',
 760: 'refrigerator\n icebox',
 761: 'remote control\n remote',
 762: 'restaurant\n eating house\n eating place\n eatery',
 763: 'revolver\n six-gun\n six-shooter',
 764: 'rifle',
 765: 'rocking chair\n rocker',
 766: 'rotisserie',
 767: 'rubber eraser\n rubber\n pencil eraser',
 768: 'rugby ball',
 769: 'rule\n ruler',
 770: 'running shoe',
 771: 'safe',
 772: 'safety pin',
 773: 'saltshaker\n salt shaker',
 774: 'sandal',
 775: 'sarong',
 776: 'sax\n saxophone',
 777: 'scabbard',
 778: 'scale\n weighing machine',
 779: 'school bus',
 780: 'schooner',
 781: 'scoreboard',
 782: 'screen\n CRT screen',
 783: 'screw',
 784: 'screwdriver',
 785: 'seat belt\n seatbelt',
 786: 'sewing machine',
 787: 'shield\n buckler',
 788: 'shoe shop\n shoe-shop\n shoe store',
 789: 'shoji',
 790: 'shopping basket',
 791: 'shopping cart',
 792: 'shovel',
 793: 'shower cap',
 794: 'shower curtain',
 795: 'ski',
 796: 'ski mask',
 797: 'sleeping bag',
 798: 'slide rule\n slipstick',
 799: 'sliding door',
 800: 'slot\n one-armed bandit',
 801: 'snorkel',
 802: 'snowmobile',
 803: 'snowplow\n snowplough',
 804: 'soap dispenser',
 805: 'soccer ball',
 806: 'sock',
 807: 'solar dish\n solar collector\n solar furnace',
 808: 'sombrero',
 809: 'soup bowl',
 810: 'space bar',
 811: 'space heater',
 812: 'space shuttle',
 813: 'spatula',
 814: 'speedboat',
 815: "spider web\n spider's web",
 816: 'spindle',
 817: 'sports car\n sport car',
 818: 'spotlight\n spot',
 819: 'stage',
 820: 'steam locomotive',
 821: 'steel arch bridge',
 822: 'steel drum',
 823: 'stethoscope',
 824: 'stole',
 825: 'stone wall',
 826: 'stopwatch\n stop watch',
 827: 'stove',
 828: 'strainer',
 829: 'streetcar\n tram\n tramcar\n trolley\n trolley car',
 830: 'stretcher',
 831: 'studio couch\n day bed',
 832: 'stupa\n tope',
 833: 'submarine\n pigboat\n sub\n U-boat',
 834: 'suit\n suit of clothes',
 835: 'sundial',
 836: 'sunglass',
 837: 'sunglasses\n dark glasses\n shades',
 838: 'sunscreen\n sunblock\n sun blocker',
 839: 'suspension bridge',
 840: 'swab\n swob\n mop',
 841: 'sweatshirt',
 842: 'swimming trunks\n bathing trunks',
 843: 'swing',
 844: 'switch\n electric switch\n electrical switch',
 845: 'syringe',
 846: 'table lamp',
 847: 'tank\n army tank\n armored combat vehicle\n armoured combat vehicle',
 848: 'tape player',
 849: 'teapot',
 850: 'teddy\n teddy bear',
 851: 'television\n television system',
 852: 'tennis ball',
 853: 'thatch\n thatched roof',
 854: 'theater curtain\n theatre curtain',
 855: 'thimble',
 856: 'thresher\n thrasher\n threshing machine',
 857: 'throne',
 858: 'tile roof',
 859: 'toaster',
 860: 'tobacco shop\n tobacconist shop\n tobacconist',
 861: 'toilet seat',
 862: 'torch',
 863: 'totem pole',
 864: 'tow truck\n tow car\n wrecker',
 865: 'toyshop',
 866: 'tractor',
 867: 'trailer truck\n tractor trailer\n trucking rig\n rig\n articulated lorry\n semi',
 868: 'tray',
 869: 'trench coat',
 870: 'tricycle\n trike\n velocipede',
 871: 'trimaran',
 872: 'tripod',
 873: 'triumphal arch',
 874: 'trolleybus\n trolley coach\n trackless trolley',
 875: 'trombone',
 876: 'tub\n vat',
 877: 'turnstile',
 878: 'typewriter keyboard',
 879: 'umbrella',
 880: 'unicycle\n monocycle',
 881: 'upright\n upright piano',
 882: 'vacuum\n vacuum cleaner',
 883: 'vase',
 884: 'vault',
 885: 'velvet',
 886: 'vending machine',
 887: 'vestment',
 888: 'viaduct',
 889: 'violin\n fiddle',
 890: 'volleyball',
 891: 'waffle iron',
 892: 'wall clock',
 893: 'wallet\n billfold\n notecase\n pocketbook',
 894: 'wardrobe\n closet\n press',
 895: 'warplane\n military plane',
 896: 'washbasin\n handbasin\n washbowl\n lavabo\n wash-hand basin',
 897: 'washer\n automatic washer\n washing machine',
 898: 'water bottle',
 899: 'water jug',
 900: 'water tower',
 901: 'whiskey jug',
 902: 'whistle',
 903: 'wig',
 904: 'window screen',
 905: 'window shade',
 906: 'Windsor tie',
 907: 'wine bottle',
 908: 'wing',
 909: 'wok',
 910: 'wooden spoon',
 911: 'wool\n woolen\n woollen',
 912: 'worm fence\n snake fence\n snake-rail fence\n Virginia fence',
 913: 'wreck',
 914: 'yawl',
 915: 'yurt',
 916: 'web site\n website\n internet site\n site',
 917: 'comic book',
 918: 'crossword puzzle\n crossword',
 919: 'street sign',
 920: 'traffic light\n traffic signal\n stoplight',
 921: 'book jacket\n dust cover\n dust jacket\n dust wrapper',
 922: 'menu',
 923: 'plate',
 924: 'guacamole',
 925: 'consomme',
 926: 'hot pot\n hotpot',
 927: 'trifle',
 928: 'ice cream\n icecream',
 929: 'ice lolly\n lolly\n lollipop\n popsicle',
 930: 'French loaf',
 931: 'bagel\n beigel',
 932: 'pretzel',
 933: 'cheeseburger',
 934: 'hotdog\n hot dog\n red hot',
 935: 'mashed potato',
 936: 'head cabbage',
 937: 'broccoli',
 938: 'cauliflower',
 939: 'zucchini\n courgette',
 940: 'spaghetti squash',
 941: 'acorn squash',
 942: 'butternut squash',
 943: 'cucumber\n cuke',
 944: 'artichoke\n globe artichoke',
 945: 'bell pepper',
 946: 'cardoon',
 947: 'mushroom',
 948: 'Granny Smith',
 949: 'strawberry',
 950: 'orange',
 951: 'lemon',
 952: 'fig',
 953: 'pineapple\n ananas',
 954: 'banana',
 955: 'jackfruit\n jak\n jack',
 956: 'custard apple',
 957: 'pomegranate',
 958: 'hay',
 959: 'carbonara',
 960: 'chocolate sauce\n chocolate syrup',
 961: 'dough',
 962: 'meat loaf\n meatloaf',
 963: 'pizza\n pizza pie',
 964: 'potpie',
 965: 'burrito',
 966: 'red wine',
 967: 'espresso',
 968: 'cup',
 969: 'eggnog',
 970: 'alp',
 971: 'bubble',
 972: 'cliff\n drop\n drop-off',
 973: 'coral reef',
 974: 'geyser',
 975: 'lakeside\n lakeshore',
 976: 'promontory\n headland\n head\n foreland',
 977: 'sandbar\n sand bar',
 978: 'seashore\n coast\n seacoast\n sea-coast',
 979: 'valley\n vale',
 980: 'volcano',
 981: 'ballplayer\n baseball player',
 982: 'groom\n bridegroom',
 983: 'scuba diver',
 984: 'rapeseed',
 985: 'daisy',
 986: "yellow lady's slipper\n yellow lady-slipper\n Cypripedium calceolus\n Cypripedium parviflorum",
 987: 'corn',
 988: 'acorn',
 989: 'hip\n rose hip\n rosehip',
 990: 'buckeye\n horse chestnut\n conker',
 991: 'coral fungus',
 992: 'agaric',
 993: 'gyromitra',
 994: 'stinkhorn\n carrion fungus',
 995: 'earthstar',
 996: 'hen-of-the-woods\n hen of the woods\n Polyporus frondosus\n Grifola frondosa',
 997: 'bolete',
 998: 'ear\n spike\n capitulum',
 999: 'toilet tissue\n toilet paper\n bathroom tissue'}