Lancelot53/wltjr1007_DomainNet_subset
收藏Hugging Face2024-07-01 更新2024-07-06 收录
下载链接：
https://hf-mirror.com/datasets/Lancelot53/wltjr1007_DomainNet_subset
下载链接
链接失效反馈官方服务：
资源简介：
该数据集包含图像数据，每个图像都有一个标签，标签涵盖了345个不同的类别，如飞机、汽车、动物等。数据集还包含图像的来源域（如clipart、infograph等）和图像路径信息。数据集分为训练集和测试集，训练集包含10245个样本，测试集包含4418个样本。
The dataset contains image data, each with a label covering 345 different categories such as airplanes, cars, animals, etc. The dataset also includes the source domain of the images (e.g., clipart, infograph) and the image path information. The dataset is divided into a training set with 10245 samples and a test set with 4418 samples.
提供机构：
Lancelot53
原始信息汇总
数据集概述
数据特征
- image: 图像数据
- label: 类别标签
- 类别名称:
- 0: aircraft_carrier
- 1: airplane
- 2: alarm_clock
- 3: ambulance
- 4: angel
- 5: animal_migration
- 6: ant
- 7: anvil
- 8: apple
- 9: arm
- 10: asparagus
- 11: axe
- 12: backpack
- 13: banana
- 14: bandage
- 15: barn
- 16: baseball
- 17: baseball_bat
- 18: basket
- 19: basketball
- 20: bat
- 21: bathtub
- 22: beach
- 23: bear
- 24: beard
- 25: bed
- 26: bee
- 27: belt
- 28: bench
- 29: bicycle
- 30: binoculars
- 31: bird
- 32: birthday_cake
- 33: blackberry
- 34: blueberry
- 35: book
- 36: boomerang
- 37: bottlecap
- 38: bowtie
- 39: bracelet
- 40: brain
- 41: bread
- 42: bridge
- 43: broccoli
- 44: broom
- 45: bucket
- 46: bulldozer
- 47: bus
- 48: bush
- 49: butterfly
- 50: cactus
- 51: cake
- 52: calculator
- 53: calendar
- 54: camel
- 55: camera
- 56: camouflage
- 57: campfire
- 58: candle
- 59: cannon
- 60: canoe
- 61: car
- 62: carrot
- 63: castle
- 64: cat
- 65: ceiling_fan
- 66: cello
- 67: cell_phone
- 68: chair
- 69: chandelier
- 70: church
- 71: circle
- 72: clarinet
- 73: clock
- 74: cloud
- 75: coffee_cup
- 76: compass
- 77: computer
- 78: cookie
- 79: cooler
- 80: couch
- 81: cow
- 82: crab
- 83: crayon
- 84: crocodile
- 85: crown
- 86: cruise_ship
- 87: cup
- 88: diamond
- 89: dishwasher
- 90: diving_board
- 91: dog
- 92: dolphin
- 93: donut
- 94: door
- 95: dragon
- 96: dresser
- 97: drill
- 98: drums
- 99: duck
- 100: dumbbell
- 101: ear
- 102: elbow
- 103: elephant
- 104: envelope
- 105: eraser
- 106: eye
- 107: eyeglasses
- 108: face
- 109: fan
- 110: feather
- 111: fence
- 112: finger
- 113: fire_hydrant
- 114: fireplace
- 115: firetruck
- 116: fish
- 117: flamingo
- 118: flashlight
- 119: flip_flops
- 120: floor_lamp
- 121: flower
- 122: flying_saucer
- 123: foot
- 124: fork
- 125: frog
- 126: frying_pan
- 127: garden
- 128: garden_hose
- 129: giraffe
- 130: goatee
- 131: golf_club
- 132: grapes
- 133: grass
- 134: guitar
- 135: hamburger
- 136: hammer
- 137: hand
- 138: harp
- 139: hat
- 140: headphones
- 141: hedgehog
- 142: helicopter
- 143: helmet
- 144: hexagon
- 145: hockey_puck
- 146: hockey_stick
- 147: horse
- 148: hospital
- 149: hot_air_balloon
- 150: hot_dog
- 151: hot_tub
- 152: hourglass
- 153: house
- 154: house_plant
- 155: hurricane
- 156: ice_cream
- 157: jacket
- 158: jail
- 159: kangaroo
- 160: key
- 161: keyboard
- 162: knee
- 163: knife
- 164: ladder
- 165: lantern
- 166: laptop
- 167: leaf
- 168: leg
- 169: light_bulb
- 170: lighter
- 171: lighthouse
- 172: lightning
- 173: line
- 174: lion
- 175: lipstick
- 176: lobster
- 177: lollipop
- 178: mailbox
- 179: map
- 180: marker
- 181: matches
- 182: megaphone
- 183: mermaid
- 184: microphone
- 185: microwave
- 186: monkey
- 187: moon
- 188: mosquito
- 189: motorbike
- 190: mountain
- 191: mouse
- 192: moustache
- 193: mouth
- 194: mug
- 195: mushroom
- 196: nail
- 197: necklace
- 198: nose
- 199: ocean
- 200: octagon
- 201: octopus
- 202: onion
- 203: oven
- 204: owl
- 205: paintbrush
- 206: paint_can
- 207: palm_tree
- 208: panda
- 209: pants
- 210: paper_clip
- 211: parachute
- 212: parrot
- 213: passport
- 214: peanut
- 215: pear
- 216: peas
- 217: pencil
- 218: penguin
- 219: piano
- 220: pickup_truck
- 221: picture_frame
- 222: pig
- 223: pillow
- 224: pineapple
- 225: pizza
- 226: pliers
- 227: police_car
- 228: pond
- 229: pool
- 230: popsicle
- 231: postcard
- 232: potato
- 233: power_outlet
- 234: purse
- 235: rabbit
- 236: raccoon
- 237: radio
- 238: rain
- 239: rainbow
- 240: rake
- 241: remote_control
- 242: rhinoceros
- 243: rifle
- 244: river
- 245: roller_coaster
- 246: rollerskates
- 247: sailboat
- 248: sandwich
- 249: saw
- 250: saxophone
- 251: school_bus
- 252: scissors
- 253: scorpion
- 254: screwdriver
- 255: sea_turtle
- 256: see_saw
- 257: shark
- 258: sheep
- 259: shoe
- 260: shorts
- 261: shovel
- 262: sink
- 263: skateboard
- 264: skull
- 265: skyscraper
- 266: sleeping_bag
- 267: smiley_face
- 268: snail
- 269: snake
- 270: snorkel
- 271: snowflake
- 272: snowman
- 273: soccer_ball
- 274: sock
- 275: speedboat
- 276: spider
- 277: spoon
- 278: spreadsheet
- 279: square
- 280: squiggle
- 281: squirrel
- 282: stairs
- 283: star
- 284: steak
- 285: stereo
- 286: stethoscope
- 287: stitches
- 288: stop_sign
- 289: stove
- 290: strawberry
- 291: streetlight
- 292: string_bean
- 293: submarine
- 294: suitcase
- 295: sun
- 296: swan
- 297: sweater
- 298: swing_set
- 299: sword
- 300: syringe
- 301: table
- 302: teapot
- 303: teddy-bear
- 304: telephone
- 305: television
- 306: tennis_racquet
- 307: tent
- 308: The_Eiffel_Tower
- 309: The_Great_Wall_of_China
- 310: The_Mona_Lisa
- 311: tiger
- 312: toaster
- 313: toe
- 314: toilet
- 315: tooth
- 316: toothbrush
- 317: toothpaste
- 318: tornado
- 319: tractor
- 320: traffic_light
- 321: train
- 322: tree
- 323: triangle
- 324: trombone
- 325: truck
- 326: trumpet
- 327: t-shirt
- 328: umbrella
- 329: underwear
- 330: van
- 331: vase
- 332: violin
- 333: washing_machine
- 334: watermelon
- 335: waterslide
- 336: whale
- 337: wheel
- 338: windmill
- 339: wine_bottle
- 340: wine_glass
- 341: wristwatch
- 342: yoga
- 343: zebra
- 344: zigzag
- 类别名称:
- domain: 图像所属领域
- 领域名称:
- 0: clipart
- 1: infograph
- 2: painting
- 3: quickdraw
- 4: real
- 5: sketch
- 领域名称:
- image_path: 图像文件路径
数据集划分
- train: 训练集
- 样本数量: 10245
- 数据大小: 327192145.6407202 字节
- test: 测试集
- 样本数量: 4418
- 数据大小: 141716275.04666063 字节
数据集大小
- 下载大小: 468545739 字节
- 数据集总大小: 468908420.6873808 字节
配置
- config_name: default
- 数据文件路径:
- 训练集: data/train-*
- 测试集: data/test-*
- 数据文件路径:
