# Dataset Card for "TinyImagenet_2k_validation"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
region:us
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "goldfish", "1": "fire salamander", "2": "American bullfrog", "3": "tailed frog", "4": "American alligator", "5": "boa constrictor", "6": "trilobite", "7": "scorpion", "8": "southern black widow", "9": "tarantula", "10": "centipede", "11": "koala", "12": "jellyfish", "13": "brain coral", "14": "snail", "15": "sea slug", "16": "American lobster", "17": "spiny lobster", "18": "black stork", "19": "king penguin", "20": "albatross", "21": "dugong", "22": "Yorkshire Terrier", "23": "Golden Retriever", "24": "Labrador Retriever", "25": "German Shepherd Dog", "26": "Standard Poodle", "27": "tabby cat", "28": "Persian cat", "29": "Egyptian Mau", "30": "cougar", "31": "lion", "32": "brown bear", "33": "ladybug", "34": "grasshopper", "35": "stick insect", "36": "cockroach", "37": "praying mantis", "38": "dragonfly", "39": "monarch butterfly", "40": "sulphur butterfly", "41": "sea cucumber", "42": "guinea pig", "43": "pig", "44": "ox", "45": "bison", "46": "bighorn sheep", "47": "gazelle", "48": "arabian camel", "49": "orangutan", "50": "chimpanzee", "51": "baboon", "52": "African bush elephant", "53": "red panda", "54": "abacus", "55": "academic gown", "56": "altar", "57": "backpack", "58": "baluster / handrail", "59": "barbershop", "60": "barn", "61": "barrel", "62": "basketball", "63": "bathtub", "64": "station wagon", "65": "lighthouse", "66": "beaker", "67": "beer bottle", "68": "bikini", "69": "binoculars", "70": "birdhouse", "71": "bow tie", "72": "brass memorial plaque", "73": "bucket", "74": "high-speed train", "75": "butcher shop", "76": "candle", "77": "cannon", "78": "cardigan", "79": "automated teller machine", "80": "CD player", "81": "storage chest", "82": "Christmas stocking", "83": "cliff dwelling", "84": "computer keyboard", "85": "candy store", "86": "convertible", "87": "crane bird", "88": "dam", "89": "desk", "90": "dining table", "91": "dumbbell", "92": "flagpole", "93": "fly", "94": "fountain", "95": "freight car", "96": "frying pan", "97": "fur coat", "98": "gas mask or respirator", "99": "go-kart", "100": "gondola", "101": "hourglass", "102": "iPod", "103": "rickshaw", "104": "kimono", "105": "lampshade", "106": "lawn mower", "107": "lifeboat", "108": "limousine", "109": "magnetic compass", "110": "maypole", "111": "military uniform", "112": "miniskirt", "113": "moving van", "114": "neck brace", "115": "obelisk", "116": "oboe", "117": "pipe organ", "118": "parking meter", "119": "payphone", "120": "picket fence", "121": "pill bottle", "122": "plunger", "123": "police van", "124": "poncho", "125": "soda bottle", "126": "potter's wheel", "127": "missile", "128": "punching bag", "129": "refrigerator", "130": "remote control", "131": "rocking chair", "132": "rugby ball", "133": "sandal", "134": "school bus", "135": "scoreboard", "136": "sewing machine", "137": "snorkel", "138": "sock", "139": "sombrero", "140": "space heater", "141": "spider web", "142": "sports car", "143": "through arch bridge", "144": "stopwatch", "145": "sunglasses", "146": "suspension bridge", "147": "swim trunks / shorts", "148": "syringe", "149": "teapot", "150": "teddy bear", "151": "thatched roof", "152": "torch", "153": "tractor", "154": "triumphal arch", "155": "trolleybus", "156": "turnstile", "157": "umbrella", "158": "vestment", "159": "viaduct", "160": "volleyball", "161": "water jug", "162": "water tower", "163": "wok", "164": "wooden spoon", "165": "comic book", "166": "fishing casting reel", "167": "guacamole", "168": "ice cream", "169": "popsicle", "170": "goose", "171": "drumstick", "172": "plate", "173": "pretzel", "174": "mashed potatoes", "175": "cauliflower", "176": "bell pepper", "177": "lemon", "178": "banana", "179": "pomegranate", "180": "meatloaf", "181": "pizza", "182": "pot pie", "183": "espresso", "184": "bee", "185": "apron", "186": "pole", "187": "Chihuahua", "188": "mountain", "189": "cliff", "190": "coral reef", "191": "lakeshore", "192": "beach", "193": "acorn", "194": "broom", "195": "mushroom", "196": "metal nail", "197": "chain", "198": "slug", "199": "orange"}}}}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_simple_specific", "dtype": "string"}, {"name": "clip_tags_ViT_L_14_ensemble_specific", "dtype": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_simple_specific", "dtype": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_ensemble_specific", "dtype": "string"}, {"name": "id", "dtype": "int64"}], "splits": [{"name": "validation", "num_bytes": 5104453.0, "num_examples": 2000}], "download_size": 3249857, "dataset_size": 5104453.0}}
TAGS
#region-us 

# Dataset Card for "TinyImagenet_2k_validation"

More Information needed
# Dataset Card for "TinyImagenet_2k_validation"

More Information needed
TAGS
#region-us 
 # Dataset Card for "TinyImagenet_2k_validation"

More Information needed
passage: TAGS
#region-us 
# Dataset Card for "TinyImagenet_2k_validation"

More Information needed