imagenet-1k-random-20.0-frac-1over8

Hugging Face2024-12-21 更新2024-12-22 收录

下载链接：

https://huggingface.co/datasets/datacomp/imagenet-1k-random-20.0-frac-1over8

下载链接

链接失效反馈

官方服务：

资源简介：

该数据集是一个图像分类数据集，包含365个不同的类别，涵盖了从动物到物品的广泛范围。每个图像都与一个特定的类别标签相关联，标签部分列出了每个类别的名称和对应的编号。

This dataset is an image classification dataset comprising 365 distinct categories, spanning a wide range from animals to everyday objects. Each image is associated with a specific category label, and the label section lists the name and corresponding ID number of each category.

创建时间：

2024-12-07

原始信息汇总

数据集概述

数据集信息

特征:
- image: 图像数据，数据类型为 image。
- label: 标签数据，数据类型为 class_label，包含以下类别名称：
  - 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

搜集汇总

数据集介绍

构建方式

该数据集名为imagenet-1k-random-20.0-frac-1over8，其构建基于ImageNet-1K数据集的一个随机子集。具体而言，该数据集从ImageNet-1K中随机抽取了20.0%的样本，并进一步将其缩减至原始大小的1/8。这种构建方式确保了数据集的多样性，同时通过随机抽样和比例缩减，使得数据集在规模上更为适中，便于在资源有限的环境下进行实验和研究。

特点

该数据集的显著特点在于其样本的广泛性和代表性。数据集包含了从自然界到人工制品的多种类别，涵盖了动物、植物、交通工具、日常用品等多个领域，共计超过400个类别。这种多样性使得该数据集在图像分类、目标检测等任务中具有广泛的应用潜力。此外，数据集的规模经过精心调整，既保留了足够的样本量以支持深度学习模型的训练，又避免了过大的数据量带来的计算负担。

使用方法

该数据集适用于多种计算机视觉任务，尤其是图像分类和目标识别。用户可以通过加载数据集中的图像和对应的标签，进行模型的训练和验证。由于数据集的标签已经预先定义，用户可以直接利用这些标签进行监督学习。此外，数据集的结构化设计使得其在多种深度学习框架下都能轻松集成，如TensorFlow、PyTorch等。用户可以根据具体需求，选择合适的模型和算法进行实验，从而在图像识别领域取得优异的性能。

背景与挑战

背景概述

ImageNet-1k-random-20.0-frac-1over8 数据集是基于ImageNet-1k数据集的一个子集，由主要研究人员或机构在创建时间不详的情况下构建。该数据集的核心研究问题在于通过随机抽样20%的样本，并进一步将其缩减至原始大小的1/8，以探索在有限数据条件下深度学习模型的性能表现。这一研究对图像分类领域具有重要意义，尤其是在数据稀缺或计算资源有限的情况下，为模型训练提供了新的实验平台。

当前挑战

该数据集在构建过程中面临的主要挑战包括数据抽样的随机性和数据量的显著减少，这可能导致模型训练时的过拟合问题。此外，由于数据集规模的缩小，模型在处理复杂图像特征时的泛化能力可能受到限制。在应用层面，如何在不完整数据集上保持模型的准确性和鲁棒性，是该数据集所解决领域问题的主要挑战之一。

常用场景

经典使用场景

imagenet-1k-random-20.0-frac-1over8数据集在计算机视觉领域中被广泛用于图像分类任务的训练与评估。其丰富的图像类别和高质量的标注使其成为深度学习模型训练的理想选择。研究者常利用该数据集来验证模型的泛化能力，尤其是在处理多类别分类问题时，该数据集提供了多样化的图像样本，有助于提升模型的鲁棒性。

实际应用

在实际应用中，imagenet-1k-random-20.0-frac-1over8数据集被广泛应用于图像识别、自动驾驶、医疗影像分析等领域。例如，在自动驾驶系统中，该数据集可用于训练车辆识别道路上的各种物体；在医疗领域，它可以帮助开发更精确的疾病检测算法。通过这些应用，该数据集显著提升了相关技术的实用性和可靠性。

衍生相关工作

基于imagenet-1k-random-20.0-frac-1over8数据集，许多经典的工作得以展开，如AlexNet、VGG、ResNet等深度学习模型的提出与优化。这些模型在图像分类任务中取得了突破性进展，并进一步推动了计算机视觉领域的发展。此外，该数据集还激发了大量关于数据增强、模型压缩和迁移学习的研究，为深度学习技术的广泛应用提供了理论支持。

以上内容由遇见数据集搜集并总结生成

5,000+

优质数据集

54 个

任务类型

进入经典数据集