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isaacchung/birdsnap

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Hugging Face2024-07-20 更新2024-07-22 收录
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https://hf-mirror.com/datasets/isaacchung/birdsnap
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资源简介:
该数据集包含鸟类的常见名称和学名,可能用于鸟类识别或分类任务。

This dataset contains common names and scientific names of birds, likely used for bird identification or classification tasks.
提供机构:
isaacchung
原始信息汇总

数据集概述

特征信息

类别标签

  • 名称: common
  • 数据类型: class_label
  • 类别名称:
    • 0: Coopers Hawk
    • 1: Northern Goshawk
    • 2: Sharp-shinned Hawk
    • 3: Golden Eagle
    • 4: White-tailed Hawk
    • 5: Zone-tailed Hawk
    • 6: Red-tailed Hawk
    • 7: Rough-legged Hawk
    • 8: Red-shouldered Hawk
    • 9: Broad-winged Hawk
    • 10: Ferruginous Hawk
    • 11: Swainsons Hawk
    • 12: Common Black-Hawk
    • 13: Northern Harrier
    • 14: Swallow-tailed Kite
    • 15: White-tailed Kite
    • 16: Bald Eagle
    • 17: Mississippi Kite
    • 18: Harriss Hawk
    • 19: Snail Kite
    • 20: Bushtit
    • 21: Horned Lark
    • 22: Belted Kingfisher
    • 23: Pigeon Guillemot
    • 24: Black Guillemot
    • 25: Common Murre
    • 26: Northern Pintail
    • 27: American Wigeon
    • 28: Green-winged Teal
    • 29: Cinnamon Teal
    • 30: Blue-winged Teal
    • 31: Mottled Duck
    • 32: Eurasian Wigeon
    • 33: Mallard
    • 34: American Black Duck
    • 35: Gadwall
    • 36: Lesser Scaup
    • 37: Redhead
    • 38: Ring-necked Duck
    • 39: Greater Scaup
    • 40: Canvasback
    • 41: Bufflehead
    • 42: Common Goldeneye
    • 43: Barrows Goldeneye
    • 44: Muscovy Duck
    • 45: Long-tailed Duck
    • 46: Harlequin Duck
    • 47: Hooded Merganser
    • 48: Black Scoter
    • 49: White-winged Scoter
    • 50: Surf Scoter
    • 51: Common Merganser
    • 52: Red-breasted Merganser
    • 53: Ruddy Duck
    • 54: Common Eider
    • 55: Greater White-fronted Goose
    • 56: Brant
    • 57: Canada Goose
    • 58: Cackling Goose
    • 59: Snow Goose
    • 60: Rosss Goose
    • 61: Trumpeter Swan
    • 62: Tundra Swan
    • 63: Mute Swan
    • 64: Fulvous Whistling-Duck
    • 65: Anhinga
    • 66: White-throated Swift
    • 67: Chimney Swift
    • 68: Limpkin
    • 69: Great Egret
    • 70: Great Blue Heron
    • 71: American Bittern
    • 72: Cattle Egret
    • 73: Little Blue Heron
    • 74: Reddish Egret
    • 75: Snowy Egret
    • 76: Tricolored Heron
    • 77: Least Bittern
    • 78: Yellow-crowned Night-Heron
    • 79: Black-crowned Night-Heron
    • 80: Cedar Waxwing
    • 81: Bohemian Waxwing
    • 82: Lapland Longspur
    • 83: Chestnut-collared Longspur
    • 84: Snow Bunting
    • 85: Lesser Nighthawk
    • 86: Common Nighthawk
    • 87: Northern Cardinal
    • 88: Pyrrhuloxia
    • 89: Lazuli Bunting
    • 90: Blue Grosbeak
    • 91: Painted Bunting
    • 92: Indigo Bunting
    • 93: Rose-breasted Grosbeak
    • 94: Black-headed Grosbeak
    • 95: Hepatic Tanager
    • 96: Western Tanager
    • 97: Scarlet Tanager
    • 98: Summer Tanager
    • 99: Dickcissel
    • 100: Turkey Vulture
    • 101: Black Vulture
    • 102: Brown Creeper
    • 103: Piping Plover
    • 104: Mountain Plover
    • 105: Snowy Plover
    • 106: Semipalmated Plover
    • 107: Killdeer
    • 108: Wilsons Plover
    • 109: American Golden-Plover
    • 110: Pacific Golden-Plover
    • 111: Black-bellied Plover
    • 112: Wood Stork
    • 113: American Dipper
    • 114: Rock Pigeon
    • 115: Inca Dove
    • 116: Columbina passerina
    • 117: Patagioenas fasciata
    • 118: Streptopelia decaocto
    • 119: Zenaida asiatica
    • 120: Zenaida macroura
    • 121: Aphelocoma californica
    • 122: Aphelocoma coerulescens
    • 123: Aphelocoma wollweberi
    • 124: Corvus brachyrhynchos
    • 125: Corvus corax
    • 126: Corvus cryptoleucus
    • 127: Corvus ossifragus
    • 128: Cyanocitta cristata
    • 129: Cyanocitta stelleri
    • 130: Cyanocitta stelleri
    • 131: Nucifraga columbiana
    • 132: Perisoreus canadensis
    • 133: Pica hudsonia
    • 134: Pica nuttalli
    • 135: Crotophaga sulcirostris
    • 136: Coccyzus americanus
    • 137: Coccyzus erythropthalmus
    • 138: Geococcyx californianus
    • 139: Amphispiza bilineata
    • 140: Ammospiza maritima
    • 141: Ammodramus henslowii
    • 142: Ammodramus leconteii
    • 143: Ammodramus maritimus
    • 144: Ammodramus nelsoni
    • 145: Ammodramus savannarum
    • 146: Amphispiza belli
    • 147: Arremonops rufivirgatus
    • 148: Calamospiza melanocorys
    • 149: Chondestes grammacus
    • 150: Junco hyemalis
    • 151: Junco phaeonotus
    • 152: Melospiza georgiana
    • 153: Melospiza lincolnii
    • 154: Melospiza melodia
    • 155: Melozone crissalis
    • 156: Melozone fusca
    • 157: Passerella iliaca
    • 158: Peucaea cassinii
    • 159: Pipilo chlorurus
    • 160: Pipilo erythrophthalmus
    • 161: Pipilo maculatus
    • 162: Pooecetes gramineus
    • 163: Spizella arborea
    • 164: Spizella atrogularis
    • 165: Spizella breweri
    • 166: Spizella pallida
    • 167: Spizella passerina
    • 168: Spizella pusilla
    • 169: Zonotrichia albicollis
    • 170: Zonotrichia atricapilla
    • 171: Zonotrichia leucophrys
    • 172: Zonotrichia querula
    • 173: Caracara plancus
    • 174: Falco columbarius
    • 175: Falco mexicanus
    • 176: Falco peregrinus
    • 177: Falco sparverius
    • 178: Fregata magnificens
    • 179: Acanthis flammea
    • 180: Acanthis hornemanni
    • 181: Coccothraustes vespertinus
    • 182: Haemorhous cassinii
    • 183: Haemorhous mexicanus
    • 184: Haemorhous purpureus
    • 185: Leucosticte tephrocotis
    • 186: Leucosticte australis
    • 187: Leucosticte atrata
    • 188: Loxia curvirostra
    • 189: Loxia leucoptera
    • 190: Pinicola enucleator
    • 191: Spinus pinus
    • 192: Spinus psaltria
    • 193: Spinus tristis
    • 194: Gavia immer
    • 195: Gavia pacifica
    • 196: Gavia stellata
    • 197: Antigone canadensis
    • 198: Haematopus bachmani
    • 199: Haematopus palliatus
    • 200: Hirundo rustica
    • 201: Petrochelidon fulva
    • 202: Petrochelidon pyrrhonota
    • 203: Progne subis
    • 204: Stelgidopteryx serripennis
    • 205: Tachycineta bicolor
    • 206: Tachycineta thalassina
    • 207: Agelaius phoeniceus
    • 208: Dolichonyx oryzivorus
    • 209: Euphagus carolinus
    • 210: Euphagus cyanocephalus
    • 211: Icterus bullockii
    • 212: Icterus cucullatus
    • 213: Icterus galbula
    • 214: Icterus graduacauda
    • 215: Icterus gularis
    • 216: Icterus parisorum
    • 217: Icterus spurius
    • 218: Molothrus aeneus
    • 219: Molothrus ater
    • 220: Quiscalus major
    • 221: Quiscalus mexicanus
    • 222: Quiscalus quiscula
    • 223: Sturnella magna
    • 224: Sturnella neglecta
    • 225: Xanthocephalus xanthocephalus
    • 226: Lanius excubitor
    • 227: Lanius ludovicianus
    • 228: Chroicocephalus philadelphia
    • 229: Larus argentatus
    • 230: Larus californicus
    • 231: Larus canus
    • 232: Larus delawarensis
    • 233: Larus glaucescens
    • 234: Larus glaucoides
    • 235: Larus heermanni
    • 236: Larus hyperboreus
    • 237: Larus marinus
    • 238: Larus occidentalis
    • 239: Larus thayeri
    • 240: Leucophaeus atricilla
    • 241: Leucophaeus pipixcan
    • 242: Rissa tridactyla
    • 243: Rynchops niger
    • 244: Chlidonias niger
    • 245: Gelochelidon nilotica
    • 246: Hydroprogne caspia
    • 247: Sterna dougallii
    • 248: Sterna forsteri
    • 249: Sterna hirundo
    • 250: Sterna paradisaea
    • 251: Sterna antillarum
    • 252: Thalasseus maximus
    • 253: Thalasseus sandvicensis
    • 254: Dumetella carolinensis
    • 255: Mimus polyglottos
    • 256: Oreoscoptes montanus
    • 257: Toxostoma curvirostre
    • 258: Toxostoma longirostre
    • 259: Toxostoma redivivum
    • 260: Toxostoma rufum
    • 261: Anthus rubescens
    • 262: Callipepla californica
    • 263: Callipepla gambelii
    • 264: Callipepla squamata
    • 265: Colinus virginianus
    • 266: Pandion haliaetus
    • 267: Baeolophus atricristatus
    • 268: Baeolophus bicolor
    • 269: Baeolophus inornatus
    • 270: Baeolophus wollweberi
    • 271: Poecile atricapillus
    • 272: Poecile carolinensis
    • 273: Poecile gambeli
    • 274: Poecile hudsonicus
    • 275: Poecile rufescens
    • 276: Cardellina canadensis
    • 277: Cardellina pusilla
    • 278: Geothlypis philadelphia
    • 279: Geothlypis trichas
    • 280: Helmitheros vermivorum
    • 281: Icteria virens
    • 282: Mniotilta varia
    • 283: Myioborus pictus
    • 284: Oporornis agilis
    • 285: Oreothlypis celata
    • 286: Oreothlypis peregrina
    • 287: Oreothlypis ruficapilla
    • 288: Parkesia motacilla
    • 289: Parkesia noveboracensis
    • 290: Protonotaria citrea
    • 291: Seiurus aurocapilla
    • 292: Setophaga americana
    • 293: Setophaga caerulescens
    • 294: Setophaga castanea
    • 295: Setophaga cerulea
    • 296: Setophaga citrina
    • 297: Setophaga coronata
    • 298: Setophaga discolor
    • 299: Setophaga dominica
    • 300: Setophaga fusca
    • 301: Setophaga magnolia
    • 302: Setophaga nigrescens
    • 303: Setophaga palmarum
    • 304: Setophaga pensylvanica
    • 305: Setophaga petechia
    • 306: Setophaga pinus
    • 307: Setophaga ruticilla
    • 308: Setophaga striata
    • 309: Setophaga tigrina
    • 310: Setophaga townsendi
    • 311: Setophaga virens
    • 312: Vermivora chrysoptera
    • 313: Vermivora
搜集汇总
数据集介绍
main_image_url
构建方式
该数据集ISAACCHUNG/birdsnap通过收集和标注大量鸟类图片构建而成,其中包含了多种鸟类品种,每种鸟类都有对应的常见名称和科学名称。数据集的构建采用了精细的分类体系,确保了数据的准确性和多样性。
特点
ISAACCHUNG/birdsnap数据集的特点在于其涵盖了丰富的鸟类种类,从隼形目到雀形目,包含了许多不同的科。此外,数据集提供了每种鸟类的常见名称和科学名称,这为研究者提供了便利。数据集的多样性使得它在鸟类识别和分类任务中具有很高的实用价值。
使用方法
使用ISAACCHUNG/birdsnap数据集时,用户可以通过HuggingFace提供的接口轻松加载和访问数据。数据集可以用于训练机器学习模型,进行鸟类识别和分类研究。用户需要确保在合法和符合伦理的前提下使用这些数据,例如,在学术研究和非商业应用中。
背景与挑战
背景概述
鸟类分类研究是生态学及生物信息学领域的重要组成部分,旨在通过对鸟类种类的识别与分类,深入了解鸟类多样性及其生态习性。isaacchung/birdsnap数据集,创建于近期,由数据科学家isaacchung主导,汇集了多种鸟类的高清图片,旨在为鸟类自动识别与分类提供高质量的数据支持。该数据集包含了丰富的鸟类种类,从隼类到水鸟,从鸣禽到猛禽,为研究人员提供了一个全面的研究资源。其核心研究问题是提升鸟类图像识别的准确性和鲁棒性,对相关领域产生了积极影响。
当前挑战
在构建isaacchung/birdsnap数据集的过程中,研究人员面临了多个挑战。首先,鸟类种类的多样性和形态的相似性使得分类任务极具挑战性。其次,数据集的构建过程中,如何确保图片的质量和标注的准确性也是一个关键问题。此外,由于鸟类识别在生态保护、生物多样性监测等领域具有重要意义,因此数据集的实用性和可扩展性也是构建过程中的重要考量。
常用场景
经典使用场景
isaacchung/birdsnap数据集广泛应用于鸟类识别与分类的研究中,其详尽的物种标签和丰富的图像数据使得它成为训练深度学习模型的理想选择。研究者可以利用该数据集对模型进行训练,以实现对不同鸟类种类的准确识别。
解决学术问题
该数据集解决了鸟类识别研究中样本数量不足、标注质量参差不齐的问题,提供了高质量的标注数据,有助于提高模型的泛化能力和准确度,为鸟类生态学、保护生物学等领域的研究提供了有力支持。
衍生相关工作
基于isaacchung/birdsnap数据集,研究者们衍生出了一系列相关工作,如鸟类行为分析、生态位划分、物种分布预测等,这些研究进一步拓宽了数据集的应用范围,推动了相关领域的科技进步。
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