qbourbon/pb_trainset-2
收藏Hugging Face2023-11-25 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/qbourbon/pb_trainset-2
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资源简介：
该数据集包含图像和标签两个特征。标签是一个分类标签，涵盖了从000_airplane到249_zebra共251个类别，其中包括一个名为mistery_category的未知类别。数据集包含一个训练集，大小为151506666.84822693字节，包含5136个样本。下载大小为148171712字节。
该数据集包含图像和标签两个特征。标签是一个分类标签，涵盖了从000_airplane到249_zebra共251个类别，其中包括一个名为mistery_category的未知类别。数据集包含一个训练集，大小为151506666.84822693字节，包含5136个样本。下载大小为148171712字节。
提供机构：
qbourbon
原始信息汇总
数据集概述
特征
- 图像 (image): 数据类型为图像。
- 标签 (label): 数据类型为类别标签，包含251个类别，具体类别名称如下：
- 0: 000_airplane
- 1: 001_alarm_clock
- 2: 002_angel
- 3: 003_ant
- 4: 004_apple
- 5: 005_arm
- 6: 006_armchair
- 7: 007_ashtray
- 8: 008_axe
- 9: 009_backpack
- 10: 010_banana
- 11: 011_barn
- 12: 012_baseball_bat
- 13: 013_basket
- 14: 014_bathtub
- 15: 015_bear_(animal)
- 16: 016_bed
- 17: 017_bee
- 18: 018_beer-mug
- 19: 019_bell
- 20: 020_bench
- 21: 021_bicycle
- 22: 022_binoculars
- 23: 023_blimp
- 24: 024_book
- 25: 025_bookshelf
- 26: 026_boomerang
- 27: 027_bottle_opener
- 28: 028_bowl
- 29: 029_brain
- 30: 030_bread
- 31: 031_bridge
- 32: 032_bulldozer
- 33: 033_bus
- 34: 034_bush
- 35: 035_butterfly
- 36: 036_cabinet
- 37: 037_cactus
- 38: 038_cake
- 39: 039_calculator
- 40: 040_camel
- 41: 041_camera
- 42: 042_candle
- 43: 043_cannon
- 44: 044_canoe
- 45: 045_car_(sedan)
- 46: 046_carrot
- 47: 047_castle
- 48: 048_cat
- 49: 049_cell_phone
- 50: 050_chair
- 51: 051_chandelier
- 52: 052_church
- 53: 053_cigarette
- 54: 054_cloud
- 55: 055_comb
- 56: 056_computer_monitor
- 57: 057_computer-mouse
- 58: 058_couch
- 59: 059_cow
- 60: 060_crab
- 61: 061_crane_(machine)
- 62: 062_crocodile
- 63: 063_crown
- 64: 064_cup
- 65: 065_diamond
- 66: 066_dog
- 67: 067_dolphin
- 68: 068_donut
- 69: 069_door
- 70: 070_door_handle
- 71: 071_dragon
- 72: 072_duck
- 73: 073_ear
- 74: 074_elephant
- 75: 075_envelope
- 76: 076_eye
- 77: 077_eyeglasses
- 78: 078_face
- 79: 079_fan
- 80: 080_feather
- 81: 081_fire_hydrant
- 82: 082_fish
- 83: 083_flashlight
- 84: 084_floor_lamp
- 85: 085_flower_with_stem
- 86: 086_flying_bird
- 87: 087_flying_saucer
- 88: 088_foot
- 89: 089_fork
- 90: 090_frog
- 91: 091_frying-pan
- 92: 092_giraffe
- 93: 093_grapes
- 94: 094_grenade
- 95: 095_guitar
- 96: 096_hamburger
- 97: 097_hammer
- 98: 098_hand
- 99: 099_harp
- 100: 100_hat
- 101: 101_head
- 102: 102_head-phones
- 103: 103_hedgehog
- 104: 104_helicopter
- 105: 105_helmet
- 106: 106_horse
- 107: 107_hot_air_balloon
- 108: 108_hot-dog
- 109: 109_hourglass
- 110: 110_house
- 111: 111_human-skeleton
- 112: 112_ice-cream-cone
- 113: 113_ipod
- 114: 114_kangaroo
- 115: 115_key
- 116: 116_keyboard
- 117: 117_knife
- 118: 118_ladder
- 119: 119_laptop
- 120: 120_leaf
- 121: 121_lightbulb
- 122: 122_lighter
- 123: 123_lion
- 124: 124_lobster
- 125: 125_loudspeaker
- 126: 126_mailbox
- 127: 127_megaphone
- 128: 128_mermaid
- 129: 129_microphone
- 130: 130_microscope
- 131: 131_monkey
- 132: 132_moon
- 133: 133_mosquito
- 134: 134_motorbike
- 135: 135_mouse_(animal)
- 136: 136_mouth
- 137: 137_mug
- 138: 138_mushroom
- 139: 139_nose
- 140: 140_octopus
- 141: 141_owl
- 142: 142_palm_tree
- 143: 143_panda
- 144: 144_paper_clip
- 145: 145_parachute
- 146: 146_parking_meter
- 147: 147_parrot
- 148: 148_pear
- 149: 149_pen
- 150: 150_penguin
- 151: 151_person_sitting
- 152: 152_person_walking
- 153: 153_piano
- 154: 154_pickup_truck
- 155: 155_pig
- 156: 156_pigeon
- 157: 157_pineapple
- 158: 158_pipe_(for_smoking)
- 159: 159_pizza
- 160: 160_potted_plant
- 161: 161_power_outlet
- 162: 162_present
- 163: 163_pretzel
- 164: 164_pumpkin
- 165: 165_purse
- 166: 166_rabbit
- 167: 167_race_car
- 168: 168_radio
- 169: 169_rainbow
- 170: 170_revolver
- 171: 171_rifle
- 172: 172_rollerblades
- 173: 173_rooster
- 174: 174_sailboat
- 175: 175_santa_claus
- 176: 176_satellite
- 177: 177_satellite_dish
- 178: 178_saxophone
- 179: 179_scissors
- 180: 180_scorpion
- 181: 181_screwdriver
- 182: 182_sea_turtle
- 183: 183_seagull
- 184: 184_shark
- 185: 185_sheep
- 186: 186_ship
- 187: 187_shoe
- 188: 188_shovel
- 189: 189_skateboard
- 190: 190_skull
- 191: 191_skyscraper
- 192: 192_snail
- 193: 193_snake
- 194: 194_snowboard
- 195: 195_snowman
- 196: 196_socks
- 197: 197_space_shuttle
- 198: 198_speed-boat
- 199: 199_spider
- 200: 200_sponge_bob
- 201: 201_spoon
- 202: 202_squirrel
- 203: 203_standing_bird
- 204: 204_stapler
- 205: 205_strawberry
- 206: 206_streetlight
- 207: 207_submarine
- 208: 208_suitcase
- 209: 209_sun
- 210: 210_suv
- 211: 211_swan
- 212: 212_sword
- 213: 213_syringe
- 214: 214_t-shirt
- 215: 215_table
- 216: 216_tablelamp
- 217: 217_teacup
- 218: 218_teapot
- 219: 219_teddy-bear
- 220: 220_telephone
- 221: 221_tennis-racket
- 222: 222_tent
- 223: 223_tiger
- 224: 224_tire
- 225: 225_toilet
- 226: 226_tomato
- 227: 227_tooth
- 228: 228_toothbrush
- 229: 229_tractor
- 230: 230_traffic_light
- 231: 231_train
- 232: 232_tree
- 233: 233_trombone
- 234: 234_trousers
- 235: 235_truck
- 236: 236_trumpet
- 237: 237_tv
- 238: 238_umbrella
- 239: 239_van
- 240: 240_vase
- 241: 241_violin
- 242: 242_walkie_talkie
- 243: 243_wheel
- 244: 244_wheelbarrow
- 245: 245_windmill
- 246: 246_wine-bottle
- 247: 247_wineglass
- 248: 248_wrist-watch
- 249: 249_zebra
- 250: mistery_category
数据集划分
- 训练集 (train): 包含5136个样本，数据大小为151506666.84822693字节。
数据集大小
- 下载大小: 148171712字节
- 数据集大小: 151506666.84822693字节
配置
- 配置名称: default
- 数据文件路径: data/train-*
