app file changes

app.py

@@ -1,194 +1,89 @@
-import gradio as gr
 import torch
 import torchvision.transforms as transforms
 from PIL import Image
+import json
+import gradio as gr
 from torchvision.models import resnet50
-import os
-import logging
-from typing import Optional, Union
-import numpy as np
-from pathlib import Path
-
-# Set up logging
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-# Directory Configuration
-BASE_DIR = Path(__file__).resolve().parent
-MODELS_DIR = BASE_DIR / "models"
-EXAMPLES_DIR = BASE_DIR / "examples"
-STATIC_DIR = BASE_DIR / "static" / "uploaded"
-
-# Ensure directories exist
-STATIC_DIR.mkdir(parents=True, exist_ok=True)
-
-# Global variables
-MODEL_PATH = MODELS_DIR / "resnet_50.pth"
-CLASSES_PATH =  BASE_DIR / "classes.txt"
-DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-
-def load_class_labels() -> Optional[list]:
-    """
-    Load class labels from the classes.txt file
-    """
-    try:
-        if not CLASSES_PATH.exists():
-            raise FileNotFoundError(f"Classes file not found at {CLASSES_PATH}")
-            
-        with open(CLASSES_PATH, 'r') as f:
-            return [line.strip() for line in f.readlines()]
-    except Exception as e:
-        logger.error(f"Error loading class labels: {str(e)}")
-        return None
-
-# Load class labels
-CLASS_NAMES = load_class_labels()
-if CLASS_NAMES is None:
-    raise RuntimeError("Failed to load class labels from classes.txt")
-
-# Cache the model to avoid reloading for each prediction
-model = None
-
-def load_model() -> Optional[torch.nn.Module]:
-    """
-    Load the ResNet50 model with error handling
-    """
-    global model
-    
-    try:
-        if model is not None:
-            return model
-            
-        if not MODEL_PATH.exists():
-            raise FileNotFoundError(f"Model file not found at {MODEL_PATH}")
-        
-        logger.info(f"Loading model on {DEVICE}")
-        model = resnet50(pretrained=False)
-        model.fc = torch.nn.Linear(model.fc.in_features, len(CLASS_NAMES))
-        
-        # Load the model weights
-        state_dict = torch.load(MODEL_PATH, map_location=DEVICE)
-        
-        if 'state_dict' in state_dict:
-            state_dict = state_dict['state_dict']
-        
-        model.load_state_dict(state_dict)
-        model.to(DEVICE)
-        model.eval()
-        
-        logger.info("Model loaded successfully")
-        return model
-        
-    except Exception as e:
-        logger.error(f"Error loading model: {str(e)}")
-        return None
-
-def preprocess_image(image: Union[np.ndarray, Image.Image]) -> Optional[torch.Tensor]:
-    """
-    Preprocess the input image with error handling
-    """
-    try:
-        if isinstance(image, np.ndarray):
-            image = Image.fromarray(image)
-        
-        transform = transforms.Compose([
-            transforms.Resize((224, 224)),
-            transforms.ToTensor(),
-            transforms.Normalize(
-                mean=[0.485, 0.456, 0.406],
-                std=[0.229, 0.224, 0.225]
-            )
-        ])
-        
-        return transform(image).unsqueeze(0).to(DEVICE)
-        
-    except Exception as e:
-        logger.error(f"Error preprocessing image: {str(e)}")
-        return None
-
-def predict(image: Union[np.ndarray, None]) -> tuple[str, dict]:
-    """
-    Make predictions on the input image with comprehensive error handling
-    Returns the predicted class and top 5 confidence scores
-    """
-    try:
-        if image is None:
-            return "Error: No image provided", {}
-        
-        model = load_model()
-        if model is None:
-            return "Error: Failed to load model", {}
-        
-        input_tensor = preprocess_image(image)
-        if input_tensor is None:
-            return "Error: Failed to preprocess image", {}
-        
-        with torch.no_grad():
-            output = model(input_tensor)
-            probabilities = torch.nn.functional.softmax(output[0], dim=0)
-        
-        predicted_class_idx = torch.argmax(probabilities).item()
-        predicted_class = CLASS_NAMES[predicted_class_idx]
-        
-        # Get top 5 predictions
-        top_5_probs, top_5_indices = torch.topk(probabilities, k=5)
-        
-        # Create confidence dictionary for top 5 classes
-        confidences = {
-            CLASS_NAMES[idx.item()]: float(prob.item())
-            for prob, idx in zip(top_5_probs, top_5_indices)
-        }
-        
-        return predicted_class, confidences
-                
-    except Exception as e:
-        logger.error(f"Prediction error: {str(e)}")
-        return f"Error during prediction: {str(e)}", {}
-
-def get_example_list() -> list:
-    """
-    Get list of example images from the examples directory
-    """
-    try:
-        examples = []
-        for ext in ['.jpg', '.jpeg', '.png']:
-            examples.extend(list(EXAMPLES_DIR.glob(f'*.{ext}')))
-        return [[str(ex)] for ex in sorted(examples)]
-    except Exception as e:
-        logger.error(f"Error loading examples: {str(e)}")
-        return []
-
-# Create Gradio interface with error handling
-try:
-    iface = gr.Interface(
-        fn=predict,
-        inputs=gr.Image(type="numpy", label="Upload Image"),
-        outputs=[
-            gr.Label(label="Predicted Class", num_top_classes=1),
-            gr.Label(label="Top 5 Predictions", num_top_classes=5)
-        ],
-        title="Image Classification with ResNet50",
-        description=(
-            "Upload an image to classify:\n"
-            "The model will predict the class and show top 5 confidence scores."
-        ),
-        examples=get_example_list(),
-        cache_examples=True,
-        theme=gr.themes.Base()
-    )
-    
-except Exception as e:
-    logger.error(f"Error creating Gradio interface: {str(e)}")
-    raise
+from huggingface_hub import hf_hub_download
+
+
+from model import resnet50
+model_path = "checkpoint-epcoh24_lr_point1.pth"
+
+def load_model(model_path):
+    model = resnet50(pretrained=False)  # Create an instance of the ResNet-50 model
+    state_dict = torch.load(model_path, map_location='cpu')  # Load the state dictionary
+    model.load_state_dict(state_dict)  # Load the state dictionary
+    model.eval()  # Set the model to evaluation mode
+    return model
+
+
+def preprocess_image(image):
+    preprocess = transforms.Compose([
+        transforms.Resize(256),
+        transforms.CenterCrop(224),
+        transforms.ToTensor(),
+        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
+    ])
+
+    image = image.convert("RGB")  # Ensure image is in RGB format
+    image = preprocess(image)  # Apply transformations
+    image = image.unsqueeze(0)  # Add batch dimension
+    return image
+
+
+# Prediction function
+def predict(image):
+    image_tensor = preprocess_image(image)
+    with torch.no_grad():
+        output = model(image_tensor)
+        probabilities = torch.nn.functional.softmax(output, dim=1)
+        top5_probabilities, top5_indices = probabilities.topk(5)
+
+    results = {}
+    for i in range(5):
+        class_index = top5_indices[0][i].item()
+        class_label = class_labels.get(str(class_index), "Unknown class")
+        results[class_label] = top5_probabilities[0][i].item()  # Store label and probability in a dictionary
+    print("See the prediction result : ", results)
+    return results  # Return the results as a dictionary
+
+
+# Load class index mapping
+def load_class_labels(label_path):
+    with open(label_path, 'r') as f:
+        class_labels = json.load(f)
+    return class_labels
+
+
+def load_model(model_path):
+    model = resnet50()  # Create an instance of the ResNet-50 model
+    checkpoint = torch.load(model_path, map_location='cpu')  # Load the checkpoint
+
+    # Access the 'model_state_dict' key within the checkpoint
+    state_dict = checkpoint['model_state_dict']
+
+    # Remove "module." prefix if present (common when using DataParallel)
+    if 'module.' in next(iter(state_dict.keys())):
+        state_dict = {k.replace('module.', ''): v for k, v in state_dict.items()}
+
+    model.load_state_dict(state_dict)  # Load the state dictionary
+    model.eval()  # Set the model to evaluation mode
+    return model
+
+model_path = "models/resnet50.pth"
+label_path = 'classes.json'  # Path to the class index mapping
+model = load_model(model_path)
+class_labels = load_class_labels(label_path)
 
+# Create Gradio interface
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=5),
+    title="Image Classification using ResNet 50 Model trained on Imagenet 1000 dataset",
+    description="Upload an image to get the top-5 predictions."
+)
+# Launch the app
 if __name__ == "__main__":
-    try:
-        load_model()  # Pre-load the model
-        iface.launch(
-            share=False,
-            server_name="0.0.0.0",
-            server_port=7860,
-            debug=False
-        )
-    except Exception as e:
-        logger.error(f"Error launching application: {str(e)}") 
+    iface.launch()

classes.json

@@ -0,0 +1,1002 @@
+{
+    "0": "tench, Tinca tinca",
+    "1": "goldfish, Carassius auratus",
+    "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
+    "3": "tiger shark, Galeocerdo cuvieri",
+    "4": "hammerhead, hammerhead shark",
+    "5": "electric ray, crampfish, numbfish, torpedo",
+    "6": "stingray",
+    "7": "cock",
+    "8": "hen",
+    "9": "ostrich, Struthio camelus",
+    "10": "brambling, Fringilla montifringilla",
+    "11": "goldfinch, Carduelis carduelis",
+    "12": "house finch, linnet, Carpodacus mexicanus",
+    "13": "junco, snowbird",
+    "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
+    "15": "robin, American robin, Turdus migratorius",
+    "16": "bulbul",
+    "17": "jay",
+    "18": "magpie",
+    "19": "chickadee",
+    "20": "water ouzel, dipper",
+    "21": "kite",
+    "22": "bald eagle, American eagle, Haliaeetus leucocephalus",
+    "23": "vulture",
+    "24": "great grey owl, great gray owl, Strix nebulosa",
+    "25": "European fire salamander, Salamandra salamandra",
+    "26": "common newt, Triturus vulgaris",
+    "27": "eft",
+    "28": "spotted salamander, Ambystoma maculatum",
+    "29": "axolotl, mud puppy, Ambystoma mexicanum",
+    "30": "bullfrog, Rana catesbeiana",
+    "31": "tree frog, tree-frog",
+    "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
+    "33": "loggerhead, loggerhead turtle, Caretta caretta",
+    "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
+    "35": "mud turtle",
+    "36": "terrapin",
+    "37": "box turtle, box tortoise",
+    "38": "banded gecko",
+    "39": "common iguana, iguana, Iguana iguana",
+    "40": "American chameleon, anole, Anolis carolinensis",
+    "41": "whiptail, whiptail lizard",
+    "42": "agama",
+    "43": "frilled lizard, Chlamydosaurus kingi",
+    "44": "alligator lizard",
+    "45": "Gila monster, Heloderma suspectum",
+    "46": "green lizard, Lacerta viridis",
+    "47": "African chameleon, Chamaeleo chamaeleon",
+    "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
+    "49": "African crocodile, Nile crocodile, Crocodylus niloticus",
+    "50": "American alligator, Alligator mississipiensis",
+    "51": "triceratops",
+    "52": "thunder snake, worm snake, Carphophis amoenus",
+    "53": "ringneck snake, ring-necked snake, ring snake",
+    "54": "hognose snake, puff adder, sand viper",
+    "55": "green snake, grass snake",
+    "56": "king snake, kingsnake",
+    "57": "garter snake, grass snake",
+    "58": "water snake",
+    "59": "vine snake",
+    "60": "night snake, Hypsiglena torquata",
+    "61": "boa constrictor, Constrictor constrictor",
+    "62": "rock python, rock snake, Python sebae",
+    "63": "Indian cobra, Naja naja",
+    "64": "green mamba",
+    "65": "sea snake",
+    "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
+    "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus",
+    "68": "sidewinder, horned rattlesnake, Crotalus cerastes",
+    "69": "trilobite",
+    "70": "harvestman, daddy longlegs, Phalangium opilio",
+    "71": "scorpion",
+    "72": "black and gold garden spider, Argiope aurantia",
+    "73": "barn spider, Araneus cavaticus",
+    "74": "garden spider, Aranea diademata",
+    "75": "black widow, Latrodectus mactans",
+    "76": "tarantula",
+    "77": "wolf spider, hunting spider",
+    "78": "tick",
+    "79": "centipede",
+    "80": "black grouse",
+    "81": "ptarmigan",
+    "82": "ruffed grouse, partridge, Bonasa umbellus",
+    "83": "prairie chicken, prairie grouse, prairie fowl",
+    "84": "peacock",
+    "85": "quail",
+    "86": "partridge",
+    "87": "African grey, African gray, Psittacus erithacus",
+    "88": "macaw",
+    "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
+    "90": "lorikeet",
+    "91": "coucal",
+    "92": "bee eater",
+    "93": "hornbill",
+    "94": "hummingbird",
+    "95": "jacamar",
+    "96": "toucan",
+    "97": "drake",
+    "98": "red-breasted merganser, Mergus serrator",
+    "99": "goose",
+    "100": "black swan, Cygnus atratus",
+    "101": "tusker",
+    "102": "echidna, spiny anteater, anteater",
+    "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
+    "104": "wallaby, brush kangaroo",
+    "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
+    "106": "wombat",
+    "107": "jellyfish",
+    "108": "sea anemone, anemone",
+    "109": "brain coral",
+    "110": "flatworm, platyhelminth",
+    "111": "nematode, nematode worm, roundworm",
+    "112": "conch",
+    "113": "snail",
+    "114": "slug",
+    "115": "sea slug, nudibranch",
+    "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore",
+    "117": "chambered nautilus, pearly nautilus, nautilus",
+    "118": "Dungeness crab, Cancer magister",
+    "119": "rock crab, Cancer irroratus",
+    "120": "fiddler crab",
+    "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
+    "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus",
+    "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
+    "124": "crayfish, crawfish, crawdad, crawdaddy",
+    "125": "hermit crab",
+    "126": "isopod",
+    "127": "white stork, Ciconia ciconia",
+    "128": "black stork, Ciconia nigra",
+    "129": "spoonbill",
+    "130": "flamingo",
+    "131": "little blue heron, Egretta caerulea",
+    "132": "American egret, great white heron, Egretta albus",
+    "133": "bittern",
+    "134": "crane",
+    "135": "limpkin, Aramus pictus",
+    "136": "European gallinule, Porphyrio porphyrio",
+    "137": "American coot, marsh hen, mud hen, water hen, Fulica americana",
+    "138": "bustard",
+    "139": "ruddy turnstone, Arenaria interpres",
+    "140": "red-backed sandpiper, dunlin, Erolia alpina",
+    "141": "redshank, Tringa totanus",
+    "142": "dowitcher",
+    "143": "oystercatcher, oyster catcher",
+    "144": "pelican",
+    "145": "king penguin, Aptenodytes patagonica",
+    "146": "albatross, mollymawk",
+    "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
+    "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
+    "149": "dugong, Dugong dugon",
+    "150": "sea lion",
+    "151": "Chihuahua",
+    "152": "Japanese spaniel",
+    "153": "Maltese dog, Maltese terrier, Maltese",
+    "154": "Pekinese, Pekingese, Peke",
+    "155": "Shih-Tzu",
+    "156": "Blenheim spaniel",
+    "157": "papillon",
+    "158": "toy terrier",
+    "159": "Rhodesian ridgeback",
+    "160": "Afghan hound, Afghan",
+    "161": "basset, basset hound",
+    "162": "beagle",
+    "163": "bloodhound, sleuthhound",
+    "164": "bluetick",
+    "165": "black-and-tan coonhound",
+    "166": "Walker hound, Walker foxhound",
+    "167": "English foxhound",
+    "168": "redbone",
+    "169": "borzoi, Russian wolfhound",
+    "170": "Irish wolfhound",
+    "171": "Italian greyhound",
+    "172": "whippet",
+    "173": "Ibizan hound, Ibizan Podenco",
+    "174": "Norwegian elkhound, elkhound",
+    "175": "otterhound, otter hound",
+    "176": "Saluki, gazelle hound",
+    "177": "Scottish deerhound, deerhound",
+    "178": "Weimaraner",
+    "179": "Staffordshire bullterrier, Staffordshire bull terrier",
+    "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, 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, Sealyham",
+    "191": "Airedale, Airedale terrier",
+    "192": "cairn, cairn terrier",
+    "193": "Australian terrier",
+    "194": "Dandie Dinmont, Dandie Dinmont terrier",
+    "195": "Boston bull, Boston terrier",
+    "196": "miniature schnauzer",
+    "197": "giant schnauzer",
+    "198": "standard schnauzer",
+    "199": "Scotch terrier, Scottish terrier, Scottie",
+    "200": "Tibetan terrier, chrysanthemum dog",
+    "201": "silky terrier, Sydney silky",
+    "202": "soft-coated wheaten terrier",
+    "203": "West Highland white terrier",
+    "204": "Lhasa, 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, Hungarian pointer",
+    "212": "English setter",
+    "213": "Irish setter, red setter",
+    "214": "Gordon setter",
+    "215": "Brittany spaniel",
+    "216": "clumber, clumber spaniel",
+    "217": "English springer, English springer spaniel",
+    "218": "Welsh springer spaniel",
+    "219": "cocker spaniel, English cocker spaniel, 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, bobtail",
+    "230": "Shetland sheepdog, Shetland sheep dog, Shetland",
+    "231": "collie",
+    "232": "Border collie",
+    "233": "Bouvier des Flandres, Bouviers des Flandres",
+    "234": "Rottweiler",
+    "235": "German shepherd, German shepherd dog, German police dog, alsatian",
+    "236": "Doberman, 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, St Bernard",
+    "248": "Eskimo dog, husky",
+    "249": "malamute, malemute, Alaskan malamute",
+    "250": "Siberian husky",
+    "251": "dalmatian, coach dog, carriage dog",
+    "252": "affenpinscher, monkey pinscher, monkey dog",
+    "253": "basenji",
+    "254": "pug, pug-dog",
+    "255": "Leonberg",
+    "256": "Newfoundland, Newfoundland dog",
+    "257": "Great Pyrenees",
+    "258": "Samoyed, Samoyede",
+    "259": "Pomeranian",
+    "260": "chow, chow chow",
+    "261": "keeshond",
+    "262": "Brabancon griffon",
+    "263": "Pembroke, Pembroke Welsh corgi",
+    "264": "Cardigan, Cardigan Welsh corgi",
+    "265": "toy poodle",
+    "266": "miniature poodle",
+    "267": "standard poodle",
+    "268": "Mexican hairless",
+    "269": "timber wolf, grey wolf, gray wolf, Canis lupus",
+    "270": "white wolf, Arctic wolf, Canis lupus tundrarum",
+    "271": "red wolf, maned wolf, Canis rufus, Canis niger",
+    "272": "coyote, prairie wolf, brush wolf, Canis latrans",
+    "273": "dingo, warrigal, warragal, Canis dingo",
+    "274": "dhole, Cuon alpinus",
+    "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
+    "276": "hyena, hyaena",
+    "277": "red fox, Vulpes vulpes",
+    "278": "kit fox, Vulpes macrotis",
+    "279": "Arctic fox, white fox, Alopex lagopus",
+    "280": "grey fox, gray fox, Urocyon cinereoargenteus",
+    "281": "tabby, tabby cat",
+    "282": "tiger cat",
+    "283": "Persian cat",
+    "284": "Siamese cat, Siamese",
+    "285": "Egyptian cat",
+    "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
+    "287": "lynx, catamount",
+    "288": "leopard, Panthera pardus",
+    "289": "snow leopard, ounce, Panthera uncia",
+    "290": "jaguar, panther, Panthera onca, Felis onca",
+    "291": "lion, king of beasts, Panthera leo",
+    "292": "tiger, Panthera tigris",
+    "293": "cheetah, chetah, Acinonyx jubatus",
+    "294": "brown bear, bruin, Ursus arctos",
+    "295": "American black bear, black bear, Ursus americanus, Euarctos americanus",
+    "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
+    "297": "sloth bear, Melursus ursinus, Ursus ursinus",
+    "298": "mongoose",
+    "299": "meerkat, mierkat",
+    "300": "tiger beetle",
+    "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
+    "302": "ground beetle, carabid beetle",
+    "303": "long-horned beetle, longicorn, longicorn beetle",
+    "304": "leaf beetle, chrysomelid",
+    "305": "dung beetle",
+    "306": "rhinoceros beetle",
+    "307": "weevil",
+    "308": "fly",
+    "309": "bee",
+    "310": "ant, emmet, pismire",
+    "311": "grasshopper, hopper",
+    "312": "cricket",
+    "313": "walking stick, walkingstick, stick insect",
+    "314": "cockroach, roach",
+    "315": "mantis, mantid",
+    "316": "cicada, cicala",
+    "317": "leafhopper",
+    "318": "lacewing, lacewing fly",
+    "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
+    "320": "damselfly",
+    "321": "admiral",
+    "322": "ringlet, ringlet butterfly",
+    "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
+    "324": "cabbage butterfly",
+    "325": "sulphur butterfly, sulfur butterfly",
+    "326": "lycaenid, lycaenid butterfly",
+    "327": "starfish, sea star",
+    "328": "sea urchin",
+    "329": "sea cucumber, holothurian",
+    "330": "wood rabbit, cottontail, cottontail rabbit",
+    "331": "hare",
+    "332": "Angora, Angora rabbit",
+    "333": "hamster",
+    "334": "porcupine, hedgehog",
+    "335": "fox squirrel, eastern fox squirrel, Sciurus niger",
+    "336": "marmot",
+    "337": "beaver",
+    "338": "guinea pig, Cavia cobaya",
+    "339": "sorrel",
+    "340": "zebra",
+    "341": "hog, pig, grunter, squealer, Sus scrofa",
+    "342": "wild boar, boar, Sus scrofa",
+    "343": "warthog",
+    "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius",
+    "345": "ox",
+    "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
+    "347": "bison",
+    "348": "ram, tup",
+    "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
+    "350": "ibex, Capra ibex",
+    "351": "hartebeest",
+    "352": "impala, Aepyceros melampus",
+    "353": "gazelle",
+    "354": "Arabian camel, dromedary, Camelus dromedarius",
+    "355": "llama",
+    "356": "weasel",
+    "357": "mink",
+    "358": "polecat, fitch, foulmart, foumart, Mustela putorius",
+    "359": "black-footed ferret, ferret, Mustela nigripes",
+    "360": "otter",
+    "361": "skunk, polecat, wood pussy",
+    "362": "badger",
+    "363": "armadillo",
+    "364": "three-toed sloth, ai, Bradypus tridactylus",
+    "365": "orangutan, orang, orangutang, Pongo pygmaeus",
+    "366": "gorilla, Gorilla gorilla",
+    "367": "chimpanzee, chimp, Pan troglodytes",
+    "368": "gibbon, Hylobates lar",
+    "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus",
+    "370": "guenon, guenon monkey",
+    "371": "patas, hussar monkey, Erythrocebus patas",
+    "372": "baboon",
+    "373": "macaque",
+    "374": "langur",
+    "375": "colobus, colobus monkey",
+    "376": "proboscis monkey, Nasalis larvatus",
+    "377": "marmoset",
+    "378": "capuchin, ringtail, Cebus capucinus",
+    "379": "howler monkey, howler",
+    "380": "titi, titi monkey",
+    "381": "spider monkey, Ateles geoffroyi",
+    "382": "squirrel monkey, Saimiri sciureus",
+    "383": "Madagascar cat, ring-tailed lemur, Lemur catta",
+    "384": "indri, indris, Indri indri, Indri brevicaudatus",
+    "385": "Indian elephant, Elephas maximus",
+    "386": "African elephant, Loxodonta africana",
+    "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
+    "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
+    "389": "barracouta, snoek",
+    "390": "eel",
+    "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
+    "392": "rock beauty, Holocanthus tricolor",
+    "393": "anemone fish",
+    "394": "sturgeon",
+    "395": "gar, garfish, garpike, billfish, Lepisosteus osseus",
+    "396": "lionfish",
+    "397": "puffer, pufferfish, blowfish, globefish",
+    "398": "abacus",
+    "399": "abaya",
+    "400": "academic gown, academic robe, judge's robe",
+    "401": "accordion, piano accordion, squeeze box",
+    "402": "acoustic guitar",
+    "403": "aircraft carrier, carrier, flattop, attack aircraft carrier",
+    "404": "airliner",
+    "405": "airship, dirigible",
+    "406": "altar",
+    "407": "ambulance",
+    "408": "amphibian, amphibious vehicle",
+    "409": "analog clock",
+    "410": "apiary, bee house",
+    "411": "apron",
+    "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
+    "413": "assault rifle, assault gun",
+    "414": "backpack, back pack, knapsack, packsack, rucksack, haversack",
+    "415": "bakery, bakeshop, bakehouse",
+    "416": "balance beam, beam",
+    "417": "balloon",
+    "418": "ballpoint, ballpoint pen, ballpen, Biro",
+    "419": "Band Aid",
+    "420": "banjo",
+    "421": "bannister, banister, balustrade, balusters, handrail",
+    "422": "barbell",
+    "423": "barber chair",
+    "424": "barbershop",
+    "425": "barn",
+    "426": "barometer",
+    "427": "barrel, cask",
+    "428": "barrow, garden cart, lawn cart, wheelbarrow",
+    "429": "baseball",
+    "430": "basketball",
+    "431": "bassinet",
+    "432": "bassoon",
+    "433": "bathing cap, swimming cap",
+    "434": "bath towel",
+    "435": "bathtub, bathing tub, bath, tub",
+    "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
+    "437": "beacon, lighthouse, beacon light, pharos",
+    "438": "beaker",
+    "439": "bearskin, busby, shako",
+    "440": "beer bottle",
+    "441": "beer glass",
+    "442": "bell cote, bell cot",
+    "443": "bib",
+    "444": "bicycle-built-for-two, tandem bicycle, tandem",
+    "445": "bikini, two-piece",
+    "446": "binder, ring-binder",
+    "447": "binoculars, field glasses, opera glasses",
+    "448": "birdhouse",
+    "449": "boathouse",
+    "450": "bobsled, bobsleigh, bob",
+    "451": "bolo tie, bolo, bola tie, bola",
+    "452": "bonnet, poke bonnet",
+    "453": "bookcase",
+    "454": "bookshop, bookstore, bookstall",
+    "455": "bottlecap",
+    "456": "bow",
+    "457": "bow tie, bow-tie, bowtie",
+    "458": "brass, memorial tablet, plaque",
+    "459": "brassiere, bra, bandeau",
+    "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty",
+    "461": "breastplate, aegis, egis",
+    "462": "broom",
+    "463": "bucket, pail",
+    "464": "buckle",
+    "465": "bulletproof vest",
+    "466": "bullet train, bullet",
+    "467": "butcher shop, meat market",
+    "468": "cab, hack, taxi, taxicab",
+    "469": "caldron, cauldron",
+    "470": "candle, taper, wax light",
+    "471": "cannon",
+    "472": "canoe",
+    "473": "can opener, tin opener",
+    "474": "cardigan",
+    "475": "car mirror",
+    "476": "carousel, carrousel, merry-go-round, roundabout, whirligig",
+    "477": "carpenter's kit, tool kit",
+    "478": "carton",
+    "479": "car wheel",
+    "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
+    "481": "cassette",
+    "482": "cassette player",
+    "483": "castle",
+    "484": "catamaran",
+    "485": "CD player",
+    "486": "cello, violoncello",
+    "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone",
+    "488": "chain",
+    "489": "chainlink fence",
+    "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
+    "491": "chain saw, chainsaw",
+    "492": "chest",
+    "493": "chiffonier, commode",
+    "494": "chime, bell, gong",
+    "495": "china cabinet, china closet",
+    "496": "Christmas stocking",
+    "497": "church, church building",
+    "498": "cinema, movie theater, movie theatre, movie house, picture palace",
+    "499": "cleaver, meat cleaver, chopper",
+    "500": "cliff dwelling",
+    "501": "cloak",
+    "502": "clog, geta, patten, sabot",
+    "503": "cocktail shaker",
+    "504": "coffee mug",
+    "505": "coffeepot",
+    "506": "coil, spiral, volute, whorl, helix",
+    "507": "combination lock",
+    "508": "computer keyboard, keypad",
+    "509": "confectionery, confectionary, candy store",
+    "510": "container ship, containership, container vessel",
+    "511": "convertible",
+    "512": "corkscrew, bottle screw",
+    "513": "cornet, horn, trumpet, trump",
+    "514": "cowboy boot",
+    "515": "cowboy hat, ten-gallon hat",
+    "516": "cradle",
+    "517": "crane",
+    "518": "crash helmet",
+    "519": "crate",
+    "520": "crib, cot",
+    "521": "Crock Pot",
+    "522": "croquet ball",
+    "523": "crutch",
+    "524": "cuirass",
+    "525": "dam, dike, dyke",
+    "526": "desk",
+    "527": "desktop computer",
+    "528": "dial telephone, dial phone",
+    "529": "diaper, nappy, napkin",
+    "530": "digital clock",
+    "531": "digital watch",
+    "532": "dining table, board",
+    "533": "dishrag, dishcloth",
+    "534": "dishwasher, dish washer, dishwashing machine",
+    "535": "disk brake, disc brake",
+    "536": "dock, dockage, docking facility",
+    "537": "dogsled, dog sled, dog sleigh",
+    "538": "dome",
+    "539": "doormat, welcome mat",
+    "540": "drilling platform, offshore rig",
+    "541": "drum, membranophone, tympan",
+    "542": "drumstick",
+    "543": "dumbbell",
+    "544": "Dutch oven",
+    "545": "electric fan, blower",
+    "546": "electric guitar",
+    "547": "electric locomotive",
+    "548": "entertainment center",
+    "549": "envelope",
+    "550": "espresso maker",
+    "551": "face powder",
+    "552": "feather boa, boa",
+    "553": "file, file cabinet, filing cabinet",
+    "554": "fireboat",
+    "555": "fire engine, fire truck",
+    "556": "fire screen, fireguard",
+    "557": "flagpole, flagstaff",
+    "558": "flute, transverse flute",
+    "559": "folding chair",
+    "560": "football helmet",
+    "561": "forklift",
+    "562": "fountain",
+    "563": "fountain pen",
+    "564": "four-poster",
+    "565": "freight car",
+    "566": "French horn, horn",
+    "567": "frying pan, frypan, skillet",
+    "568": "fur coat",
+    "569": "garbage truck, dustcart",
+    "570": "gasmask, respirator, gas helmet",
+    "571": "gas pump, gasoline pump, petrol pump, island dispenser",
+    "572": "goblet",
+    "573": "go-kart",
+    "574": "golf ball",
+    "575": "golfcart, golf cart",
+    "576": "gondola",
+    "577": "gong, tam-tam",
+    "578": "gown",
+    "579": "grand piano, grand",
+    "580": "greenhouse, nursery, glasshouse",
+    "581": "grille, radiator grille",
+    "582": "grocery store, grocery, food market, market",
+    "583": "guillotine",
+    "584": "hair slide",
+    "585": "hair spray",
+    "586": "half track",
+    "587": "hammer",
+    "588": "hamper",
+    "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier",
+    "590": "hand-held computer, hand-held microcomputer",
+    "591": "handkerchief, hankie, hanky, hankey",
+    "592": "hard disc, hard disk, fixed disk",
+    "593": "harmonica, mouth organ, harp, mouth harp",
+    "594": "harp",
+    "595": "harvester, reaper",
+    "596": "hatchet",
+    "597": "holster",
+    "598": "home theater, home theatre",
+    "599": "honeycomb",
+    "600": "hook, claw",
+    "601": "hoopskirt, crinoline",
+    "602": "horizontal bar, high bar",
+    "603": "horse cart, horse-cart",
+    "604": "hourglass",
+    "605": "iPod",
+    "606": "iron, smoothing iron",
+    "607": "jack-o'-lantern",
+    "608": "jean, blue jean, denim",
+    "609": "jeep, landrover",
+    "610": "jersey, T-shirt, tee shirt",
+    "611": "jigsaw puzzle",
+    "612": "jinrikisha, ricksha, rickshaw",
+    "613": "joystick",
+    "614": "kimono",
+    "615": "knee pad",
+    "616": "knot",
+    "617": "lab coat, laboratory coat",
+    "618": "ladle",
+    "619": "lampshade, lamp shade",
+    "620": "laptop, laptop computer",
+    "621": "lawn mower, mower",
+    "622": "lens cap, lens cover",
+    "623": "letter opener, paper knife, paperknife",
+    "624": "library",
+    "625": "lifeboat",
+    "626": "lighter, light, igniter, ignitor",
+    "627": "limousine, limo",
+    "628": "liner, ocean liner",
+    "629": "lipstick, lip rouge",
+    "630": "Loafer",
+    "631": "lotion",
+    "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
+    "633": "loupe, jeweler's loupe",
+    "634": "lumbermill, sawmill",
+    "635": "magnetic compass",
+    "636": "mailbag, postbag",
+    "637": "mailbox, letter box",
+    "638": "maillot",
+    "639": "maillot, tank suit",
+    "640": "manhole cover",
+    "641": "maraca",
+    "642": "marimba, xylophone",
+    "643": "mask",
+    "644": "matchstick",
+    "645": "maypole",
+    "646": "maze, labyrinth",
+    "647": "measuring cup",
+    "648": "medicine chest, medicine cabinet",
+    "649": "megalith, megalithic structure",
+    "650": "microphone, mike",
+    "651": "microwave, microwave oven",
+    "652": "military uniform",
+    "653": "milk can",
+    "654": "minibus",
+    "655": "miniskirt, mini",
+    "656": "minivan",
+    "657": "missile",
+    "658": "mitten",
+    "659": "mixing bowl",
+    "660": "mobile home, 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, scooter",
+    "671": "mountain bike, all-terrain bike, off-roader",
+    "672": "mountain tent",
+    "673": "mouse, computer mouse",
+    "674": "mousetrap",
+    "675": "moving van",
+    "676": "muzzle",
+    "677": "nail",
+    "678": "neck brace",
+    "679": "necklace",
+    "680": "nipple",
+    "681": "notebook, notebook computer",
+    "682": "obelisk",
+    "683": "oboe, hautboy, hautbois",
+    "684": "ocarina, sweet potato",
+    "685": "odometer, hodometer, mileometer, milometer",
+    "686": "oil filter",
+    "687": "organ, pipe organ",
+    "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO",
+    "689": "overskirt",
+    "690": "oxcart",
+    "691": "oxygen mask",
+    "692": "packet",
+    "693": "paddle, boat paddle",
+    "694": "paddlewheel, paddle wheel",
+    "695": "padlock",
+    "696": "paintbrush",
+    "697": "pajama, pyjama, pj's, jammies",
+    "698": "palace",
+    "699": "panpipe, pandean pipe, syrinx",
+    "700": "paper towel",
+    "701": "parachute, chute",
+    "702": "parallel bars, bars",
+    "703": "park bench",
+    "704": "parking meter",
+    "705": "passenger car, coach, carriage",
+    "706": "patio, terrace",
+    "707": "pay-phone, pay-station",
+    "708": "pedestal, plinth, footstall",
+    "709": "pencil box, pencil case",
+    "710": "pencil sharpener",
+    "711": "perfume, essence",
+    "712": "Petri dish",
+    "713": "photocopier",
+    "714": "pick, plectrum, plectron",
+    "715": "pickelhaube",
+    "716": "picket fence, paling",
+    "717": "pickup, pickup truck",
+    "718": "pier",
+    "719": "piggy bank, penny bank",
+    "720": "pill bottle",
+    "721": "pillow",
+    "722": "ping-pong ball",
+    "723": "pinwheel",
+    "724": "pirate, pirate ship",
+    "725": "pitcher, ewer",
+    "726": "plane, carpenter's plane, woodworking plane",
+    "727": "planetarium",
+    "728": "plastic bag",
+    "729": "plate rack",
+    "730": "plow, plough",
+    "731": "plunger, plumber's helper",
+    "732": "Polaroid camera, Polaroid Land camera",
+    "733": "pole",
+    "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
+    "735": "poncho",
+    "736": "pool table, billiard table, snooker table",
+    "737": "pop bottle, soda bottle",
+    "738": "pot, flowerpot",
+    "739": "potter's wheel",
+    "740": "power drill",
+    "741": "prayer rug, prayer mat",
+    "742": "printer",
+    "743": "prison, prison house",
+    "744": "projectile, missile",
+    "745": "projector",
+    "746": "puck, hockey puck",
+    "747": "punching bag, punch bag, punching ball, punchball",
+    "748": "purse",
+    "749": "quill, quill pen",
+    "750": "quilt, comforter, comfort, puff",
+    "751": "racer, race car, racing car",
+    "752": "racket, racquet",
+    "753": "radiator",
+    "754": "radio, wireless",
+    "755": "radio telescope, radio reflector",
+    "756": "rain barrel",
+    "757": "recreational vehicle, RV, R.V.",
+    "758": "reel",
+    "759": "reflex camera",
+    "760": "refrigerator, icebox",
+    "761": "remote control, remote",
+    "762": "restaurant, eating house, eating place, eatery",
+    "763": "revolver, six-gun, six-shooter",
+    "764": "rifle",
+    "765": "rocking chair, rocker",
+    "766": "rotisserie",
+    "767": "rubber eraser, rubber, pencil eraser",
+    "768": "rugby ball",
+    "769": "rule, ruler",
+    "770": "running shoe",
+    "771": "safe",
+    "772": "safety pin",
+    "773": "saltshaker, salt shaker",
+    "774": "sandal",
+    "775": "sarong",
+    "776": "sax, saxophone",
+    "777": "scabbard",
+    "778": "scale, weighing machine",
+    "779": "school bus",
+    "780": "schooner",
+    "781": "scoreboard",
+    "782": "screen, CRT screen",
+    "783": "screw",
+    "784": "screwdriver",
+    "785": "seat belt, seatbelt",
+    "786": "sewing machine",
+    "787": "shield, buckler",
+    "788": "shoe shop, shoe-shop, 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, slipstick",
+    "799": "sliding door",
+    "800": "slot, one-armed bandit",
+    "801": "snorkel",
+    "802": "snowmobile",
+    "803": "snowplow, snowplough",
+    "804": "soap dispenser",
+    "805": "soccer ball",
+    "806": "sock",
+    "807": "solar dish, solar collector, solar furnace",
+    "808": "sombrero",
+    "809": "soup bowl",
+    "810": "space bar",
+    "811": "space heater",
+    "812": "space shuttle",
+    "813": "spatula",
+    "814": "speedboat",
+    "815": "spider web, spider's web",
+    "816": "spindle",
+    "817": "sports car, sport car",
+    "818": "spotlight, spot",
+    "819": "stage",
+    "820": "steam locomotive",
+    "821": "steel arch bridge",
+    "822": "steel drum",
+    "823": "stethoscope",
+    "824": "stole",
+    "825": "stone wall",
+    "826": "stopwatch, stop watch",
+    "827": "stove",
+    "828": "strainer",
+    "829": "streetcar, tram, tramcar, trolley, trolley car",
+    "830": "stretcher",
+    "831": "studio couch, day bed",
+    "832": "stupa, tope",
+    "833": "submarine, pigboat, sub, U-boat",
+    "834": "suit, suit of clothes",
+    "835": "sundial",
+    "836": "sunglass",
+    "837": "sunglasses, dark glasses, shades",
+    "838": "sunscreen, sunblock, sun blocker",
+    "839": "suspension bridge",
+    "840": "swab, swob, mop",
+    "841": "sweatshirt",
+    "842": "swimming trunks, bathing trunks",
+    "843": "swing",
+    "844": "switch, electric switch, electrical switch",
+    "845": "syringe",
+    "846": "table lamp",
+    "847": "tank, army tank, armored combat vehicle, armoured combat vehicle",
+    "848": "tape player",
+    "849": "teapot",
+    "850": "teddy, teddy bear",
+    "851": "television, television system",
+    "852": "tennis ball",
+    "853": "thatch, thatched roof",
+    "854": "theater curtain, theatre curtain",
+    "855": "thimble",
+    "856": "thresher, thrasher, threshing machine",
+    "857": "throne",
+    "858": "tile roof",
+    "859": "toaster",
+    "860": "tobacco shop, tobacconist shop, tobacconist",
+    "861": "toilet seat",
+    "862": "torch",
+    "863": "totem pole",
+    "864": "tow truck, tow car, wrecker",
+    "865": "toyshop",
+    "866": "tractor",
+    "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
+    "868": "tray",
+    "869": "trench coat",
+    "870": "tricycle, trike, velocipede",
+    "871": "trimaran",
+    "872": "tripod",
+    "873": "triumphal arch",
+    "874": "trolleybus, trolley coach, trackless trolley",
+    "875": "trombone",
+    "876": "tub, vat",
+    "877": "turnstile",
+    "878": "typewriter keyboard",
+    "879": "umbrella",
+    "880": "unicycle, monocycle",
+    "881": "upright, upright piano",
+    "882": "vacuum, vacuum cleaner",
+    "883": "vase",
+    "884": "vault",
+    "885": "velvet",
+    "886": "vending machine",
+    "887": "vestment",
+    "888": "viaduct",
+    "889": "violin, fiddle",
+    "890": "volleyball",
+    "891": "waffle iron",
+    "892": "wall clock",
+    "893": "wallet, billfold, notecase, pocketbook",
+    "894": "wardrobe, closet, press",
+    "895": "warplane, military plane",
+    "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin",
+    "897": "washer, automatic washer, 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, woolen, woollen",
+    "912": "worm fence, snake fence, snake-rail fence, Virginia fence",
+    "913": "wreck",
+    "914": "yawl",
+    "915": "yurt",
+    "916": "web site, website, internet site, site",
+    "917": "comic book",
+    "918": "crossword puzzle, crossword",
+    "919": "street sign",
+    "920": "traffic light, traffic signal, stoplight",
+    "921": "book jacket, dust cover, dust jacket, dust wrapper",
+    "922": "menu",
+    "923": "plate",
+    "924": "guacamole",
+    "925": "consomme",
+    "926": "hot pot, hotpot",
+    "927": "trifle",
+    "928": "ice cream, icecream",
+    "929": "ice lolly, lolly, lollipop, popsicle",
+    "930": "French loaf",
+    "931": "bagel, beigel",
+    "932": "pretzel",
+    "933": "cheeseburger",
+    "934": "hotdog, hot dog, red hot",
+    "935": "mashed potato",
+    "936": "head cabbage",
+    "937": "broccoli",
+    "938": "cauliflower",
+    "939": "zucchini, courgette",
+    "940": "spaghetti squash",
+    "941": "acorn squash",
+    "942": "butternut squash",
+    "943": "cucumber, cuke",
+    "944": "artichoke, globe artichoke",
+    "945": "bell pepper",
+    "946": "cardoon",
+    "947": "mushroom",
+    "948": "Granny Smith",
+    "949": "strawberry",
+    "950": "orange",
+    "951": "lemon",
+    "952": "fig",
+    "953": "pineapple, ananas",
+    "954": "banana",
+    "955": "jackfruit, jak, jack",
+    "956": "custard apple",
+    "957": "pomegranate",
+    "958": "hay",
+    "959": "carbonara",
+    "960": "chocolate sauce, chocolate syrup",
+    "961": "dough",
+    "962": "meat loaf, meatloaf",
+    "963": "pizza, pizza pie",
+    "964": "potpie",
+    "965": "burrito",
+    "966": "red wine",
+    "967": "espresso",
+    "968": "cup",
+    "969": "eggnog",
+    "970": "alp",
+    "971": "bubble",
+    "972": "cliff, drop, drop-off",
+    "973": "coral reef",
+    "974": "geyser",
+    "975": "lakeside, lakeshore",
+    "976": "promontory, headland, head, foreland",
+    "977": "sandbar, sand bar",
+    "978": "seashore, coast, seacoast, sea-coast",
+    "979": "valley, vale",
+    "980": "volcano",
+    "981": "ballplayer, baseball player",
+    "982": "groom, bridegroom",
+    "983": "scuba diver",
+    "984": "rapeseed",
+    "985": "daisy",
+    "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
+    "987": "corn",
+    "988": "acorn",
+    "989": "hip, rose hip, rosehip",
+    "990": "buckeye, horse chestnut, conker",
+    "991": "coral fungus",
+    "992": "agaric",
+    "993": "gyromitra",
+    "994": "stinkhorn, carrion fungus",
+    "995": "earthstar",
+    "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",
+    "997": "bolete",
+    "998": "ear, spike, capitulum",
+    "999": "toilet tissue, toilet paper, bathroom tissue"
+}

classes.txt

@@ -1,1000 +0,0 @@
-tench
-goldfish
-great_white_shark
-tiger_shark
-hammerhead
-electric_ray
-stingray
-cock
-hen
-ostrich
-brambling
-goldfinch
-house_finch
-junco
-indigo_bunting
-robin
-bulbul
-jay
-magpie
-chickadee
-water_ouzel
-kite
-bald_eagle
-vulture
-great_grey_owl
-European_fire_salamander
-common_newt
-eft
-spotted_salamander
-axolotl
-bullfrog
-tree_frog
-tailed_frog
-loggerhead
-leatherback_turtle
-mud_turtle
-terrapin
-box_turtle
-banded_gecko
-common_iguana
-American_chameleon
-whiptail
-agama
-frilled_lizard
-alligator_lizard
-Gila_monster
-green_lizard
-African_chameleon
-Komodo_dragon
-African_crocodile
-American_alligator
-triceratops
-thunder_snake
-ringneck_snake
-hognose_snake
-green_snake
-king_snake
-garter_snake
-water_snake
-vine_snake
-night_snake
-boa_constrictor
-rock_python
-Indian_cobra
-green_mamba
-sea_snake
-horned_viper
-diamondback
-sidewinder
-trilobite
-harvestman
-scorpion
-black_and_gold_garden_spider
-barn_spider
-garden_spider
-black_widow
-tarantula
-wolf_spider
-tick
-centipede
-black_grouse
-ptarmigan
-ruffed_grouse
-prairie_chicken
-peacock
-quail
-partridge
-African_grey
-macaw
-sulphur-crested_cockatoo
-lorikeet
-coucal
-bee_eater
-hornbill
-hummingbird
-jacamar
-toucan
-drake
-red-breasted_merganser
-goose
-black_swan
-tusker
-echidna
-platypus
-wallaby
-koala
-wombat
-jellyfish
-sea_anemone
-brain_coral
-flatworm
-nematode
-conch
-snail
-slug
-sea_slug
-chiton
-chambered_nautilus
-Dungeness_crab
-rock_crab
-fiddler_crab
-king_crab
-American_lobster
-spiny_lobster
-crayfish
-hermit_crab
-isopod
-white_stork
-black_stork
-spoonbill
-flamingo
-little_blue_heron
-American_egret
-bittern
-crane
-limpkin
-European_gallinule
-American_coot
-bustard
-ruddy_turnstone
-red-backed_sandpiper
-redshank
-dowitcher
-oystercatcher
-pelican
-king_penguin
-albatross
-grey_whale
-killer_whale
-dugong
-sea_lion
-Chihuahua
-Japanese_spaniel
-Maltese_dog
-Pekinese
-Shih-Tzu
-Blenheim_spaniel
-papillon
-toy_terrier
-Rhodesian_ridgeback
-Afghan_hound
-basset
-beagle
-bloodhound
-bluetick
-black-and-tan_coonhound
-Walker_hound
-English_foxhound
-redbone
-borzoi
-Irish_wolfhound
-Italian_greyhound
-whippet
-Ibizan_hound
-Norwegian_elkhound
-otterhound
-Saluki
-Scottish_deerhound
-Weimaraner
-Staffordshire_bullterrier
-American_Staffordshire_terrier
-Bedlington_terrier
-Border_terrier
-Kerry_blue_terrier
-Irish_terrier
-Norfolk_terrier
-Norwich_terrier
-Yorkshire_terrier
-wire-haired_fox_terrier
-Lakeland_terrier
-Sealyham_terrier
-Airedale
-cairn
-Australian_terrier
-Dandie_Dinmont
-Boston_bull
-miniature_schnauzer
-giant_schnauzer
-standard_schnauzer
-Scotch_terrier
-Tibetan_terrier
-silky_terrier
-soft-coated_wheaten_terrier
-West_Highland_white_terrier
-Lhasa
-flat-coated_retriever
-curly-coated_retriever
-golden_retriever
-Labrador_retriever
-Chesapeake_Bay_retriever
-German_short-haired_pointer
-vizsla
-English_setter
-Irish_setter
-Gordon_setter
-Brittany_spaniel
-clumber
-English_springer
-Welsh_springer_spaniel
-cocker_spaniel
-Sussex_spaniel
-Irish_water_spaniel
-kuvasz
-schipperke
-groenendael
-malinois
-briard
-kelpie
-komondor
-Old_English_sheepdog
-Shetland_sheepdog
-collie
-Border_collie
-Bouvier_des_Flandres
-Rottweiler
-German_shepherd
-Doberman
-miniature_pinscher
-Greater_Swiss_Mountain_dog
-Bernese_mountain_dog
-Appenzeller
-EntleBucher
-boxer
-bull_mastiff
-Tibetan_mastiff
-French_bulldog
-Great_Dane
-Saint_Bernard
-Eskimo_dog
-malamute
-Siberian_husky
-dalmatian
-affenpinscher
-basenji
-pug
-Leonberg
-Newfoundland
-Great_Pyrenees
-Samoyed
-Pomeranian
-chow
-keeshond
-Brabancon_griffon
-Pembroke
-Cardigan
-toy_poodle
-miniature_poodle
-standard_poodle
-Mexican_hairless
-timber_wolf
-white_wolf
-red_wolf
-coyote
-dingo
-dhole
-African_hunting_dog
-hyena
-red_fox
-kit_fox
-Arctic_fox
-grey_fox
-tabby
-tiger_cat
-Persian_cat
-Siamese_cat
-Egyptian_cat
-cougar
-lynx
-leopard
-snow_leopard
-jaguar
-lion
-tiger
-cheetah
-brown_bear
-American_black_bear
-ice_bear
-sloth_bear
-mongoose
-meerkat
-tiger_beetle
-ladybug
-ground_beetle
-long-horned_beetle
-leaf_beetle
-dung_beetle
-rhinoceros_beetle
-weevil
-fly
-bee
-ant
-grasshopper
-cricket
-walking_stick
-cockroach
-mantis
-cicada
-leafhopper
-lacewing
-dragonfly
-damselfly
-admiral
-ringlet
-monarch
-cabbage_butterfly
-sulphur_butterfly
-lycaenid
-starfish
-sea_urchin
-sea_cucumber
-wood_rabbit
-hare
-Angora
-hamster
-porcupine
-fox_squirrel
-marmot
-beaver
-guinea_pig
-sorrel
-zebra
-hog
-wild_boar
-warthog
-hippopotamus
-ox
-water_buffalo
-bison
-ram
-bighorn
-ibex
-hartebeest
-impala
-gazelle
-Arabian_camel
-llama
-weasel
-mink
-polecat
-black-footed_ferret
-otter
-skunk
-badger
-armadillo
-three-toed_sloth
-orangutan
-gorilla
-chimpanzee
-gibbon
-siamang
-guenon
-patas
-baboon
-macaque
-langur
-colobus
-proboscis_monkey
-marmoset
-capuchin
-howler_monkey
-titi
-spider_monkey
-squirrel_monkey
-Madagascar_cat
-indri
-Indian_elephant
-African_elephant
-lesser_panda
-giant_panda
-barracouta
-eel
-coho
-rock_beauty
-anemone_fish
-sturgeon
-gar
-lionfish
-puffer
-abacus
-abaya
-academic_gown
-accordion
-acoustic_guitar
-aircraft_carrier
-airliner
-airship
-altar
-ambulance
-amphibian
-analog_clock
-apiary
-apron
-ashcan
-assault_rifle
-backpack
-bakery
-balance_beam
-balloon
-ballpoint
-Band_Aid
-banjo
-bannister
-barbell
-barber_chair
-barbershop
-barn
-barometer
-barrel
-barrow
-baseball
-basketball
-bassinet
-bassoon
-bathing_cap
-bath_towel
-bathtub
-beach_wagon
-beacon
-beaker
-bearskin
-beer_bottle
-beer_glass
-bell_cote
-bib
-bicycle-built-for-two
-bikini
-binder
-binoculars
-birdhouse
-boathouse
-bobsled
-bolo_tie
-bonnet
-bookcase
-bookshop
-bottlecap
-bow
-bow_tie
-brass
-brassiere
-breakwater
-breastplate
-broom
-bucket
-buckle
-bulletproof_vest
-bullet_train
-butcher_shop
-cab
-caldron
-candle
-cannon
-canoe
-can_opener
-cardigan
-car_mirror
-carousel
-carpenters_kit
-carton
-car_wheel
-cash_machine
-cassette
-cassette_player
-castle
-catamaran
-CD_player
-cello
-cellular_telephone
-chain
-chainlink_fence
-chain_mail
-chain_saw
-chest
-chiffonier
-chime
-china_cabinet
-Christmas_stocking
-church
-cinema
-cleaver
-cliff_dwelling
-cloak
-clog
-cocktail_shaker
-coffee_mug
-coffeepot
-coil
-combination_lock
-computer_keyboard
-confectionery
-container_ship
-convertible
-corkscrew
-cornet
-cowboy_boot
-cowboy_hat
-cradle
-crane
-crash_helmet
-crate
-crib
-Crock_Pot
-croquet_ball
-crutch
-cuirass
-dam
-desk
-desktop_computer
-dial_telephone
-diaper
-digital_clock
-digital_watch
-dining_table
-dishrag
-dishwasher
-disk_brake
-dock
-dogsled
-dome
-doormat
-drilling_platform
-drum
-drumstick
-dumbbell
-Dutch_oven
-electric_fan
-electric_guitar
-electric_locomotive
-entertainment_center
-envelope
-espresso_maker
-face_powder
-feather_boa
-file
-fireboat
-fire_engine
-fire_screen
-flagpole
-flute
-folding_chair
-football_helmet
-forklift
-fountain
-fountain_pen
-four-poster
-freight_car
-French_horn
-frying_pan
-fur_coat
-garbage_truck
-gasmask
-gas_pump
-goblet
-go-kart
-golf_ball
-golfcart
-gondola
-gong
-gown
-grand_piano
-greenhouse
-grille
-grocery_store
-guillotine
-hair_slide
-hair_spray
-half_track
-hammer
-hamper
-hand_blower
-hand-held_computer
-handkerchief
-hard_disc
-harmonica
-harp
-harvester
-hatchet
-holster
-home_theater
-honeycomb
-hook
-hoopskirt
-horizontal_bar
-horse_cart
-hourglass
-iPod
-iron
-jack-o-lantern
-jean
-jeep
-jersey
-jigsaw_puzzle
-jinrikisha
-joystick
-kimono
-knee_pad
-knot
-lab_coat
-ladle
-lampshade
-laptop
-lawn_mower
-lens_cap
-letter_opener
-library
-lifeboat
-lighter
-limousine
-liner
-lipstick
-Loafer
-lotion
-loudspeaker
-loupe
-lumbermill
-magnetic_compass
-mailbag
-mailbox
-maillot
-maillot
-manhole_cover
-maraca
-marimba
-mask
-matchstick
-maypole
-maze
-measuring_cup
-medicine_chest
-megalith
-microphone
-microwave
-military_uniform
-milk_can
-minibus
-miniskirt
-minivan
-missile
-mitten
-mixing_bowl
-mobile_home
-Model_T
-modem
-monastery
-monitor
-moped
-mortar
-mortarboard
-mosque
-mosquito_net
-motor_scooter
-mountain_bike
-mountain_tent
-mouse
-mousetrap
-moving_van
-muzzle
-nail
-neck_brace
-necklace
-nipple
-notebook
-obelisk
-oboe
-ocarina
-odometer
-oil_filter
-organ
-oscilloscope
-overskirt
-oxcart
-oxygen_mask
-packet
-paddle
-paddlewheel
-padlock
-paintbrush
-pajama
-palace
-panpipe
-paper_towel
-parachute
-parallel_bars
-park_bench
-parking_meter
-passenger_car
-patio
-pay-phone
-pedestal
-pencil_box
-pencil_sharpener
-perfume
-Petri_dish
-photocopier
-pick
-pickelhaube
-picket_fence
-pickup
-pier
-piggy_bank
-pill_bottle
-pillow
-ping-pong_ball
-pinwheel
-pirate
-pitcher
-plane
-planetarium
-plastic_bag
-plate_rack
-plow
-plunger
-Polaroid_camera
-pole
-police_van
-poncho
-pool_table
-pop_bottle
-pot
-potters_wheel
-power_drill
-prayer_rug
-printer
-prison
-projectile
-projector
-puck
-punching_bag
-purse
-quill
-quilt
-racer
-racket
-radiator
-radio
-radio_telescope
-rain_barrel
-recreational_vehicle
-reel
-reflex_camera
-refrigerator
-remote_control
-restaurant
-revolver
-rifle
-rocking_chair
-rotisserie
-rubber_eraser
-rugby_ball
-rule
-running_shoe
-safe
-safety_pin
-saltshaker
-sandal
-sarong
-sax
-scabbard
-scale
-school_bus
-schooner
-scoreboard
-screen
-screw
-screwdriver
-seat_belt
-sewing_machine
-shield
-shoe_shop
-shoji
-shopping_basket
-shopping_cart
-shovel
-shower_cap
-shower_curtain
-ski
-ski_mask
-sleeping_bag
-slide_rule
-sliding_door
-slot
-snorkel
-snowmobile
-snowplow
-soap_dispenser
-soccer_ball
-sock
-solar_dish
-sombrero
-soup_bowl
-space_bar
-space_heater
-space_shuttle
-spatula
-speedboat
-spider_web
-spindle
-sports_car
-spotlight
-stage
-steam_locomotive
-steel_arch_bridge
-steel_drum
-stethoscope
-stole
-stone_wall
-stopwatch
-stove
-strainer
-streetcar
-stretcher
-studio_couch
-stupa
-submarine
-suit
-sundial
-sunglass
-sunglasses
-sunscreen
-suspension_bridge
-swab
-sweatshirt
-swimming_trunks
-swing
-switch
-syringe
-table_lamp
-tank
-tape_player
-teapot
-teddy
-television
-tennis_ball
-thatch
-theater_curtain
-thimble
-thresher
-throne
-tile_roof
-toaster
-tobacco_shop
-toilet_seat
-torch
-totem_pole
-tow_truck
-toyshop
-tractor
-trailer_truck
-tray
-trench_coat
-tricycle
-trimaran
-tripod
-triumphal_arch
-trolleybus
-trombone
-tub
-turnstile
-typewriter_keyboard
-umbrella
-unicycle
-upright
-vacuum
-vase
-vault
-velvet
-vending_machine
-vestment
-viaduct
-violin
-volleyball
-waffle_iron
-wall_clock
-wallet
-wardrobe
-warplane
-washbasin
-washer
-water_bottle
-water_jug
-water_tower
-whiskey_jug
-whistle
-wig
-window_screen
-window_shade
-Windsor_tie
-wine_bottle
-wing
-wok
-wooden_spoon
-wool
-worm_fence
-wreck
-yawl
-yurt
-web_site
-comic_book
-crossword_puzzle
-street_sign
-traffic_light
-book_jacket
-menu
-plate
-guacamole
-consomme
-hot_pot
-trifle
-ice_cream
-ice_lolly
-French_loaf
-bagel
-pretzel
-cheeseburger
-hotdog
-mashed_potato
-head_cabbage
-broccoli
-cauliflower
-zucchini
-spaghetti_squash
-acorn_squash
-butternut_squash
-cucumber
-artichoke
-bell_pepper
-cardoon
-mushroom
-Granny_Smith
-strawberry
-orange
-lemon
-fig
-pineapple
-banana
-jackfruit
-custard_apple
-pomegranate
-hay
-carbonara
-chocolate_sauce
-dough
-meat_loaf
-pizza
-potpie
-burrito
-red_wine
-espresso
-cup
-eggnog
-alp
-bubble
-cliff
-coral_reef
-geyser
-lakeside
-promontory
-sandbar
-seashore
-valley
-volcano
-ballplayer
-groom
-scuba_diver
-rapeseed
-daisy
-yellow_ladys_slipper
-corn
-acorn
-hip
-buckeye
-coral_fungus
-agaric
-gyromitra
-stinkhorn
-earthstar
-hen-of-the-woods
-bolete
-ear
-toilet_tissue