dlfelps/cub2011-224
收藏Hugging Face2024-07-03 更新2024-07-06 收录
下载链接:
https://hf-mirror.com/datasets/dlfelps/cub2011-224
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资源简介:
该数据集包含11788个样本,每个样本由图像和对应的鸟类标签组成。标签类别涵盖了200种不同的鸟类,如黑脚信天翁、红翅黑鸟等。数据集被分为训练集,总大小为993881986.5字节。
This dataset contains 11,788 samples, each consisting of an image and a corresponding bird label. The label categories cover 200 different bird species, such as the Black-footed Albatross, Red-winged Blackbird, etc. The dataset is divided into a training set with a total size of 993,881,986.5 bytes.
提供机构:
dlfelps
原始信息汇总
数据集概述
数据特征
- image: 图像数据类型。
- label: 分类标签,包含200个类别,具体类别如下:
- 0: 001.Black_footed_Albatross
- 1: 002.Laysan_Albatross
- 2: 003.Sooty_Albatross
- 3: 004.Groove_billed_Ani
- 4: 005.Crested_Auklet
- 5: 006.Least_Auklet
- 6: 007.Parakeet_Auklet
- 7: 008.Rhinoceros_Auklet
- 8: 009.Brewer_Blackbird
- 9: 010.Red_winged_Blackbird
- 10: 011.Rusty_Blackbird
- 11: 012.Yellow_headed_Blackbird
- 12: 013.Bobolink
- 13: 014.Indigo_Bunting
- 14: 015.Lazuli_Bunting
- 15: 016.Painted_Bunting
- 16: 017.Cardinal
- 17: 018.Spotted_Catbird
- 18: 019.Gray_Catbird
- 19: 020.Yellow_breasted_Chat
- 20: 021.Eastern_Towhee
- 21: 022.Chuck_will_Widow
- 22: 023.Brandt_Cormorant
- 23: 024.Red_faced_Cormorant
- 24: 025.Pelagic_Cormorant
- 25: 026.Bronzed_Cowbird
- 26: 027.Shiny_Cowbird
- 27: 028.Brown_Creeper
- 28: 029.American_Crow
- 29: 030.Fish_Crow
- 30: 031.Black_billed_Cuckoo
- 31: 032.Mangrove_Cuckoo
- 32: 033.Yellow_billed_Cuckoo
- 33: 034.Gray_crowned_Rosy_Finch
- 34: 035.Purple_Finch
- 35: 036.Northern_Flicker
- 36: 037.Acadian_Flycatcher
- 37: 038.Great_Crested_Flycatcher
- 38: 039.Least_Flycatcher
- 39: 040.Olive_sided_Flycatcher
- 40: 041.Scissor_tailed_Flycatcher
- 41: 042.Vermilion_Flycatcher
- 42: 043.Yellow_bellied_Flycatcher
- 43: 044.Frigatebird
- 44: 045.Northern_Fulmar
- 45: 046.Gadwall
- 46: 047.American_Goldfinch
- 47: 048.European_Goldfinch
- 48: 049.Boat_tailed_Grackle
- 49: 050.Eared_Grebe
- 50: 051.Horned_Grebe
- 51: 052.Pied_billed_Grebe
- 52: 053.Western_Grebe
- 53: 054.Blue_Grosbeak
- 54: 055.Evening_Grosbeak
- 55: 056.Pine_Grosbeak
- 56: 057.Rose_breasted_Grosbeak
- 57: 058.Pigeon_Guillemot
- 58: 059.California_Gull
- 59: 060.Glaucous_winged_Gull
- 60: 061.Heermann_Gull
- 61: 062.Herring_Gull
- 62: 063.Ivory_Gull
- 63: 064.Ring_billed_Gull
- 64: 065.Slaty_backed_Gull
- 65: 066.Western_Gull
- 66: 067.Anna_Hummingbird
- 67: 068.Ruby_throated_Hummingbird
- 68: 069.Rufous_Hummingbird
- 69: 070.Green_Violetear
- 70: 071.Long_tailed_Jaeger
- 71: 072.Pomarine_Jaeger
- 72: 073.Blue_Jay
- 73: 074.Florida_Jay
- 74: 075.Green_Jay
- 75: 076.Dark_eyed_Junco
- 76: 077.Tropical_Kingbird
- 77: 078.Gray_Kingbird
- 78: 079.Belted_Kingfisher
- 79: 080.Green_Kingfisher
- 80: 081.Pied_Kingfisher
- 81: 082.Ringed_Kingfisher
- 82: 083.White_breasted_Kingfisher
- 83: 084.Red_legged_Kittiwake
- 84: 085.Horned_Lark
- 85: 086.Pacific_Loon
- 86: 087.Mallard
- 87: 088.Western_Meadowlark
- 88: 089.Hooded_Merganser
- 89: 090.Red_breasted_Merganser
- 90: 091.Mockingbird
- 91: 092.Nighthawk
- 92: 093.Clark_Nutcracker
- 93: 094.White_breasted_Nuthatch
- 94: 095.Baltimore_Oriole
- 95: 096.Hooded_Oriole
- 96: 097.Orchard_Oriole
- 97: 098.Scott_Oriole
- 98: 099.Ovenbird
- 99: 100.Brown_Pelican
- 100: 101.White_Pelican
- 101: 102.Western_Wood_Pewee
- 102: 103.Sayornis
- 103: 104.American_Pipit
- 104: 105.Whip_poor_Will
- 105: 106.Horned_Puffin
- 106: 107.Common_Raven
- 107: 108.White_necked_Raven
- 108: 109.American_Redstart
- 109: 110.Geococcyx
- 110: 111.Loggerhead_Shrike
- 111: 112.Great_Grey_Shrike
- 112: 113.Baird_Sparrow
- 113: 114.Black_throated_Sparrow
- 114: 115.Brewer_Sparrow
- 115: 116.Chipping_Sparrow
- 116: 117.Clay_colored_Sparrow
- 117: 118.House_Sparrow
- 118: 119.Field_Sparrow
- 119: 120.Fox_Sparrow
- 120: 121.Grasshopper_Sparrow
- 121: 122.Harris_Sparrow
- 122: 123.Henslow_Sparrow
- 123: 124.Le_Conte_Sparrow
- 124: 125.Lincoln_Sparrow
- 125: 126.Nelson_Sharp_tailed_Sparrow
- 126: 127.Savannah_Sparrow
- 127: 128.Seaside_Sparrow
- 128: 129.Song_Sparrow
- 129: 130.Tree_Sparrow
- 130: 131.Vesper_Sparrow
- 131: 132.White_crowned_Sparrow
- 132: 133.White_throated_Sparrow
- 133: 134.Cape_Glossy_Starling
- 134: 135.Bank_Swallow
- 135: 136.Barn_Swallow
- 136: 137.Cliff_Swallow
- 137: 138.Tree_Swallow
- 138: 139.Scarlet_Tanager
- 139: 140.Summer_Tanager
- 140: 141.Artic_Tern
- 141: 142.Black_Tern
- 142: 143.Caspian_Tern
- 143: 144.Common_Tern
- 144: 145.Elegant_Tern
- 145: 146.Forsters_Tern
- 146: 147.Least_Tern
- 147: 148.Green_tailed_Towhee
- 148: 149.Brown_Thrasher
- 149: 150.Sage_Thrasher
- 150: 151.Black_capped_Vireo
- 151: 152.Blue_headed_Vireo
- 152: 153.Philadelphia_Vireo
- 153: 154.Red_eyed_Vireo
- 154: 155.Warbling_Vireo
- 155: 156.White_eyed_Vireo
- 156: 157.Yellow_throated_Vireo
- 157: 158.Bay_breasted_Warbler
- 158: 159.Black_and_white_Warbler
- 159: 160.Black_throated_Blue_Warbler
- 160: 161.Blue_winged_Warbler
- 161: 162.Canada_Warbler
- 162: 163.Cape_May_Warbler
- 163: 164.Cerulean_Warbler
- 164: 165.Chestnut_sided_Warbler
- 165: 166.Golden_winged_Warbler
- 166: 167.Hooded_Warbler
- 167: 168.Kentucky_Warbler
- 168: 169.Magnolia_Warbler
- 169: 170.Mourning_Warbler
- 170: 171.Myrtle_Warbler
- 171: 172.Nashville_Warbler
- 172: 173.Orange_crowned_Warbler
- 173: 174.Palm_Warbler
- 174: 175.Pine_Warbler
- 175: 176.Prairie_Warbler
- 176: 177.Prothonotary_Warbler
- 177: 178.Swainson_Warbler
- 178: 179.Tennessee_Warbler
- 179: 180.Wilson_Warbler
- 180: 181.Worm_eating_Warbler
- 181: 182.Yellow_Warbler
- 182: 183.Northern_Waterthrush
- 183: 184.Louisiana_Waterthrush
- 184: 185.Bohemian_Waxwing
- 185: 186.Cedar_Waxwing
- 186: 187.American_Three_toed_Woodpecker
- 187: 188.Pileated_Woodpecker
- 188: 189.Red_bellied_Woodpecker
- 189: 190.Red_cockaded_Woodpecker
- 190: 191.Red_headed_Woodpecker
- 191: 192.Downy_Woodpecker
- 192: 193.Bewick_Wren
- 193: 194.Cactus_Wren
- 194: 195.Carolina_Wren
- 195: 196.House_Wren
- 196: 197.Marsh_Wren
- 197: 198.Rock_Wren
- 198: 199.Winter_Wren
- 199: 200.Common_Yellowthroat
数据集划分
- train: 训练集,包含11788个样本,占用993881986.5字节。
数据集大小
- 下载大小: 993861531字节
- 数据集大小: 993881986.5字节
配置
- config_name: default
- data_files:
- split: train
- path: data/train-*
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是一个包含11,788张224x224像素鸟类图像的数据集,涵盖200个不同类别,全部用于训练任务,存储格式为parquet。
以上内容由遇见数据集搜集并总结生成



