ImageNet图像数据集处理及说明-20160920

1、 ImageNet图像数据集分类标签及对应的名称这份数据是ILSVRC2012年比赛所有的数据，下载解压后如下：JLSYRC2012_bbox_iE-stjdgs.lLSYRC2O12_bbox_；r3in_v2lLSVRC2OJ.2_bbox_7al_v3HSVRC2012_devkit.tl2_v2li.SVRC2O12_img_trainHSVRC2O12jmg_train_t3ILSVRC2D12jmgjiralFtnageNetLargeScaleVisualRsccgnitioiCompetition2012(ILSVRC2012_fiIss歛JmageNetLargeScaleV

2、isualFleccgnitici-iCompetition2012QLSyKC2012.htm请确认的确是你想要的数据，千万不要出现下载了一个礼拜，解压缩一个礼拜结果发现不是你想要的。2.下载前请保证硬盘至少要有141G空间，多多益善。3必须使用百度云客户端下载，支持断点续传，不然出了点问题一切白费了。上传时速度1.4M/S用了大约30个小时完成。4.所有图片共分为1000个类别，这1000个类别的分类标签及对应的名称如下所述。例如第1类的标签为n01440764,第1类的名称为tench,Tineatinea；Defineacellofmatlab:Label1(1)=daffffLabe

3、l21=(dddfff)Label21=dddfffnet.meta.elaSSeS.nameColumnS1through9n01440764n01443537n01484850n01491361n01494475n01496331n01498041n01514668n01514859ColumnS10through18n01518878n01530575n01531178n01532829n01534433n01537544n01558993n01560419n01580077Columns19through27n01582220n01592084n01601694n01608432n01

4、614925n01616318n01622779n01629819n01630670Columns28through36n01631663n01632458n01632777n01641577n01644373n01644900n01664065n01665541n01667114Columns37through45n01667778n01669191n01675722n01677366n01682714n01685808n01687978n01688243n01689811Columns46through54n01692333n01693334n01694178n01695060n01697

5、457n01698640n01704323n01728572n01728920Columns55through63n01729322n01729977n01734418n01735189n01737021n01739381n01740131n01742172n01744401Columns64through72n01748264n01749939n01751748n01753488n01755581n01756291n01768244n01770081n01770393Columns73through81n01773157n01773549n01773797n01774384n01774750

6、n01775062n01776313n01784675n01795545Columns82through90n01796340n01797886n01798484n01806143n01806567n01807496n01817953n01818515n01819313Columns91through99n01820546n01824575n01828970n01829413n01833805n01843065n01843383n01847000n01855032Columns100through108n01855672n01860187n01871265n01872401n01873310n

7、01877812n01882714n01883070n01910747Columns109through117Columns199through207 n01914609n01917289n01924916n01930112n01943899n01944390n01945685n01950731n01955084Columns118through126n01968897n01978287n01978455n01980166n01981276n01983481n01984695n01985128n01986214Columns127through135n01990800n02002556n020

8、02724n02006656n02007558n02009229n02009912n02011460n02012849Columns136through144n02013706n02017213n02018207n02018795n02025239n02027492n02028035n02033041n02037110Columns145through153n02051845n02056570n02058221n02066245n02071294n02074367n02077923n02085620n02085782Columns154through162n02085936n02086079n

9、02086240n02086646n02086910n02087046n02087394n02088094n02088238Columns163through171n02088364n02088466n02088632n02089078n02089867n02089973n02090379n02090622n02090721Columns172through180n02091032n02091134n02091244n02091467n02091635n02091831n02092002n02092339n02093256Columns181through189n02093428n020936

10、47n02093754n02093859n02093991n02094114n02094258n02094433n02095314Columns190through198n02095570n02095889n02096051n02096177n02096294n02096437n02096585n02097047n02097130 n02097209n02097298n02097474n02097658n02098105n02098286n02098413n02099267n02099429Columns208through216n02099601n02099712n02099849n0210

11、0236n02100583n02100735n02100877n02101006n02101388Columns217through225n02101556n02102040n02102177n02102318n02102480n02102973n02104029n02104365n02105056Columns226through234n02105162n02105251n02105412n02105505n02105641n02105855n02106030n02106166n02106382Columns235through243n02106550n02106662n02107142n0

12、2107312n02107574n02107683n02107908n02108000n02108089Columns244through252n02108422n02108551n02108915n02109047n02109525n02109961n02110063n02110185n02110341Columns253through261n02110627n02110806n02110958n02111129n02111277n02111500n02111889n02112018n02112137Columns262through270n02112350n02112706n0211302

13、3n02113186n02113624n02113712n02113799n02113978n02114367Columns271through279n02114548n02114712n02114855n02115641n02115913n02116738n02117135n02119022n02119789Columns280through288n02120079n02120505n02123045n02123159n02123394n02123597n02124075n02125311n02127052Columns289through297n02128385n02128757n0212

14、8925n02129165n02129604n02130308n02132136n02133161n02134084Columns298through306n02134418n02137549n02138441Columns307through315n02174001n02177972n02190166Columns316through324n02236044n02256656n02259212Columns325through333n02280649n02281406n02281787Columns334through342n02342885n02346627n02356798Columns

15、343through351n02396427n02397096n02398521Columns352through360n02422106n02422699n02423022Columns361through369n02444819n02445715n02447366Columns370through378n02483708n02484975n02486261Columns379through387n02492035n02492660n02493509n02165105n02165456n02167151n02206856n02219486n02226429n02264363n02268443

16、n02268853n02317335n02319095n02321529n02361337n02363005n02364673n02403003n02408429n02410509n02437312n02437616n02441942n02454379n02457408n02480495n02486410n02487347n02488291n02493793n02494079n02497673n02168699n02169497n02172182n02229544n02231487n02233338n02276258n02277742n02279972n02325366n02326432n02

17、328150n02389026n02391049n02395406n02412080n02415577n02417914n02442845n02443114n02443484n02480855n02481823n02483362n02488702n02489166n02490219n02500267n02504013n02504458Columns388through396Columns478through486 n02509815n02510455n02514041n02526121n02536864n02606052n02607072n02640242n02641379Columns397

18、through405n02643566n02655020n02666196n02667093n02669723n02672831n02676566n02687172n02690373Columns406through414n02692877n02699494n02701002n02704792n02708093n02727426n02730930n02747177n02749479Columns415through423n02769748n02776631n02777292n02782093n02783161n02786058n02787622n02788148n02790996Columns

19、424through432n02791124n02791270n02793495n02794156n02795169n02797295n02799071n02802426n02804414Columns433through441n02804610n02807133n02808304n02808440n02814533n02814860n02815834n02817516n02823428Columns442through450n02823750n02825657n02834397n02835271n02837789n02840245n02841315n02843684n02859443Colu

20、mns451through459n02860847n02865351n02869837n02870880n02871525n02877765n02879718n02883205n02892201Columns460through468n02892767n02894605n02895154n02906734n02909870n02910353n02916936n02917067n02927161Columns469through477n02930766n02939185n02948072n02950826n02951358n02951585n02963159n02965783n02966193n

21、02966687n02971356n02974003n02977058n02978881n02979186n02980441n02981792n02988304Columns487through495n02992211n02992529n02999410n03000134n03000247n03000684n03014705n03016953n03017168Columns496through504n03018349n03026506n03028079n03032252n03041632n03042490n03045698n03047690n03062245Columns505through5

22、13n03063599n03063689n03065424n03075370n03085013n03089624n03095699n03100240n03109150Columns514through522n03110669n03124043n03124170n03125729n03126707n03127747n03127925n03131574n03133878Columns523through531n03134739n03141823n03146219n03160309n03179701n03180011n03187595n03188531n03196217Columns532throu

23、gh540n03197337n03201208n03207743n03207941n03208938n03216828n03218198n03220513n03223299Columns541through549n03240683n03249569n03250847n03255030n03259280n03271574n03272010n03272562n03290653Columns550through558n03291819n03297495n03314780n03325584n03337140n03344393n03345487n03347037n03355925Columns559th

24、rough567n03372029n03376595n03379051n03384352n03388043n03388183n03388549n03393912n03394916Columns568through576n03400231n03404251n03417042n03424325n034254137n03443371n03444034n03445777n03445924Columns667through675Columns757through765 Columns577through585n03447447n03447721n03450230n03452741n03457902n03

25、459775n03461385n03467068n03476684Columns586through594n03476991n03478589n03481172n03482405n03483316n03485407n03485794n03492542n03494278Columns595through603n03495258n03496892n03498962n03527444n03529860n03530642n03532672n03534580n03535780Columns604through612n03538406n03544143n03584254n03584829n03590841

26、n03594734n03594945n03595614n03598930Columns613through621n03599486n03602883n03617480n03623198n03627232n03630383n03633091n03637318n03642806Columns622through630n03649909n03657121n03658185n03661043n03662601n03666591n03670208n03673027n03676483Columns631through639n03680355n03690938n03691459n03692522n03697

27、007n03706229n03709823n03710193n03710637Columns640through648n03710721n03717622n03720891n03721384n03724870n03729826n03733131n03733281n03733805Columns649through657n03742115n03743016n03759954n03761084n03763968n03764736n03769881n03770439n03770679Columns658through666n03773504n03775071n03775546n03776460n03

28、777568n03777754n03781244n03782006n03785016n03786901n03787032n03788195n03788365n03791053n03792782n03792972n03793489n03794056Columns676through684n03796401n03803284n03804744n03814639n03814906n03825788n03832673n03837869n03838899Columns685through693n03840681n03841143n03843555n03854065n03857828n03866082n0

29、3868242n03868863n03871628Columns694through702n03873416n03874293n03874599n03876231n03877472n03877845n03884397n03887697n03888257Columns703through711n03888605n03891251n03891332n03895866n03899768n03902125n03903868n03908618n03908714Columns712through720n03916031n03920288n03924679n03929660n03929855n0393031

30、3n03930630n03933933n03935335Columns721through729n03937543n03938244n03942813n03944341n03947888n03950228n03954731n03956157n03958227Columns730through738n03961711n03967562n03970156n03976467n03976657n03977966n03980874n03982430n03983396Columns739through747n03991062n03992509n03995372n03998194n04004767n0400

31、5630n04008634n04009552n04019541Columns748through756n04023962n04026417n04033901n04033995n04037443n04039381n04040759n04041544n04044716 n04049303n04065272n04067472n04069434n04070727n04074963n04081281n04086273n04090263Columns766through774n04099969n04111531n04116512n04118538n04118776n04120489n04125021n04

32、127249n04131690Columns775through783n04133789n04136333n04141076n04141327n04141975n04146614n04147183n04149813n04152593Columns784through792n04153751n04154565n04162706n04179913n04192698n04200800n04201297n04204238n04204347Columns793through801n04208210n04209133n04209239n04228054n04229816n04235860n04238763

33、n04239074n04243546Columns802through810n04251144n04252077n04252225n04254120n04254680n04254777n04258138n04259630n04263257Columns811through819n04264628n04265275n04266014n04270147n04273569n04275548n04277352n04285008n04286575Columns820through828n04296562n04310018n04311004n04311174n04317175n04325704n04326

34、547n04328186n04330267Columns829through837n04332243n04335435n04336792n04344873n04346328n04347754n04350905n04355338n04355933Columns838through846n04356056n04357314n04366367n04367480n04370456n04371430n04371774n04372370n04376876Columns847through855n04380533n04389033n04392985n04398044n04399382n04404412n04

35、409515n04417672n04418357Columns856through864n04423845n04428191n04429376n04435653n04442312n04443257n04447861n04456115n04458633Columns865through873n04461696n04462240n04465501n04467665n04476259n04479046n04482393n04483307n04485082Columns874through882n04486054n04487081n04487394n04493381n04501370n04505470

36、n04507155n04509417n04515003Columns883through891n04517823n04522168n04523525n04525038n04525305n04532106n04532670n04536866n04540053Columns892through900n04542943n04548280n04548362n04550184n04552348n04553703n04554684n04557648n04560804Columns901through909n04562935n04579145n04579432n04584207n04589890n04590

37、129n04591157n04591713n04592741Columns910through918n04596742n04597913n04599235n04604644n04606251n04612504n04613696n06359193n06596364Columns919through927n06785654n06794110n06874185n07248320n07565083n07579787n07583066n07584110n07590611Columns928through936n07613480n07614500n07615774n07684084n07693725n07

38、695742n07697313n07697537n07711569Columns937through945n07714571n07714990n07715103n07716358n07716906n07717410n07717556n07718472n0771874707734744n07742313n07760859n07768694n07880968n07892512n09288635n09332890nl0565667nl1879895nl2998815nl3037406Columns946through954n07720875n07730033Columns955through963n

39、07753592n07754684Columns964through972n07873807n07875152Columns973through981n09246464n09256479Columns982through990n09835506nl0148035Columns991through999nl2768682nl2985857Column1000nl5075141net.meta.classesans=name:1x1000celldescription:1x1000cellnet.meta.classes.descriptionans= 07745940n07802026n0792

40、0052n09399592nl1939491nl3040303n07747607n07831146n07930864n09421951nl20572Hnl3044778n07749582n07836838n07932039n09428293nl2144580nl3052670n07753113n07860988n09193705n09468604nl2267677nl3054560n07753275n07871810n09229709n09472597nl2620546nl3133613Columns1through5tench,Tincatincagoldfish,Carass.greatw

41、hiteshar.tigershark,Gal.hammerhead,hamm.Columns6through12electricray,cr.stingraycockhenostrich,Struthi.brambling,Fring.goldfinch,Cardu.Columns13through20housefinch,lin.junco,snowbirdindigobunting,.robin,American.bulbuljaymagpiechickadeeColumns21through26waterouzel,dipperkitebaldeagle,Amer.vulturegre

42、atgreyowl,.Europeanfiresa.Columns27through32commonnewt,Tri.eftspottedsalamand.axolotl,mudpup.bullfrog,Ranac.treefrog,tree-.Columns33through38tailedfrog,bel.loggerhead,logg.leatherbackturt.mudturtleterrapinboxturtle,box.Columns39through44bandedgeckocommoniguana,i.Americanchamele.whiptail,whipta.agama

43、frilledlizard,.Columns45through50alligatorlizardGilamonster,He.greenlizard,La.Africanchameleo.Komododragon,K.Africancrocodil.Columns51through56Americanalligat.triceratopsthundersnake,w.ringnecksnake,.hognosesnake,p.greensnake,gra.Columns57through62kingsnake,king.gartersnake,gr.watersnakevinesnakenig

44、htsnake,Hyp.boaconstrictor,.13 Columns63through68rockpython,roc.Columns69through74sidewinder,horn.trilobiteharvestman,dadd.scorpionblackandgoldg.barnspider,Ara.Columns75through81gardenspider,A.blackwidow,Lat.tarantulawolfspider,hun.tickcentipedeblackgrouseColumns82through89ptarmiganruffedgrouse,p.pr

45、airiechicken,.peacockquailpartridgeAfricangrey,Af.macawColumns90through98sulphur-crested.lorikeetcoucalbeeeaterhornbillhummingbirdjacamartoucandrakeColumns99through104red-breastedmer.gooseblackswan,Cygn.tuskerechidna,spinya.platypus,duckbi.Columns105through111wallaby,brushk.koala,koalabea.wombatjell

46、yfishseaanemone,ane.braincoralflatworm,platyh.Columns112through118nematode,nemato.conchsnailslugseaslug,nudibr.chiton,coat-of-.chamberednautil.Columns119through124Dungenesscrab,.rockcrab,Cance.fiddlercrabkingcrab,Alask.Americanlobster.spinylobster,l.Columns125through131crayfish,crawfi.hermitcrabisop

47、odwhitestork,Cic.blackstork,Cic.spoonbillflamingoColumns132through137Indiancobra,Na.greenmambaseasnakehornedviper,ce.diamondback,dia.littlebluehero.Americanegret,.bitterncranelimpkin,Aramus.Europeangallinu.Columns138through143Americancoot,m.bustardruddyturnstone,.red-backedsandp.redshank,Tringa.dowi

48、tcherColumns144through149oystercatcher,o.pelicankingpenguin,Ap.albatross,molly.greywhale,gray.killerwhale,ki.Columns150through156dugong,Dugongd.sealionChihuahuaJapanesespanielMaltesedog,Mal.Pekinese,Peking.Shih-TzuColumns157through163BlenheimspanielpapillontoyterrierRhodesianridgebackAfghanhound,Af.

49、basset,basseth.beagleColumns164through169bloodhound,sleu.bluetickblack-and-tanco.Walkerhound,Wa.EnglishfoxhoundredboneColumns170through175borzoi,Russian.IrishwolfhoundItaliangreyhoundwhippetIbizanhound,Ib.Norwegianelkhou.Columns176through181otterhound,otte.Saluki,gazelle.Scottishdeerhou.WeimaranerSt

50、affordshirebu.AmericanStaffor.Columns182through187BedlingtonterrierBorderterrierKerryblueterrierIrishterrierNorfolkterrierNorwichterrierColumns188through193Yorkshireterrierwire-hairedfox.LakelandterrierSealyhamterrier.Airedale,Aireda.cairn,cairnter.Columns194through199AustralianterrierDandieDinmont,

51、.Bostonbull,Bos.miniatureschnauzergiantschnauzerstandardschnauzerColumns200through204Scotchterrier,.Tibetanterrier,.silkyterrier,S.soft-coatedwhea.WestHighlandwh.Columns205through210Lhasa,Lhasaapsoflat-coatedretr.curly-coatedret.goldenretrieverLabradorretrieverChesapeakeBayr.Columns211through216Germ

52、anshort-hai.vizsla,Hungaria.EnglishsetterIrishsetter,re.GordonsetterBrittanyspanielColumns217through222clumber,clumber.Englishspringer.Welshspringers.cockerspaniel,.SussexspanielIrishwaterspanielColumns223through231kuvaszschipperkegroenendaelmalinoisbriardkelpiekomondorOldEnglishshee.Shetlandsheepdo

53、.Columns232through238collieBordercollieBouvierdesFlan.RottweilerGermanshepherd,.Doberman,Doberm.miniaturepinscherColumns239through245GreaterSwissMo.Bernesemountain.AppenzellerEntleBucherboxerbullmastiffTibetanmastiffColumns246through251FrenchbulldogGreatDaneSaintBernard,S.Eskimodog,huskymalamute,mal

54、emu.SiberianhuskyColumns252through258dalmatian,coach.affenpinscher,m.basenjipug,pug-dogLeonbergNewfoundland,Ne.GreatPyreneesColumns259through265Samoyed,SamoyedePomeranianchow,chowchowkeeshondBrabancongriffonPembroke,Pembro.Cardigan,Cardig.Columns328through334 Columns266through271toypoodleminiaturepo

55、odlestandardpoodleMexicanhairlesstimberwolf,gre.whitewolf,Arct.Columns272through277redwolf,maned.coyote,prairie.dingo,warrigal,.dhole,CuonalpinusAfricanhunting.hyena,hyaenaColumns278through283redfox,Vulpes.kitfox,Vulpes.Arcticfox,whit.greyfox,grayf.tabby,tabbycattigercatColumns284through289Persianca

56、tSiamesecat,Sia.Egyptiancatcougar,puma,ca.lynx,catamountleopard,Panther.Columns290through294snowleopard,ou.jaguar,panther,.lion,kingofbe.tiger,Panthera.cheetah,chetah,.Columns295through300brownbear,brui.Americanblackb.icebear,polar.slothbear,Melu.mongoosemeerkat,mierkatColumns301through306tigerbeetl

57、eladybug,ladybee.groundbeetle,c.long-hornedbeet.leafbeetle,chr.dungbeetleColumns307through314rhinocerosbeetleweevilflybeeant,emmet,pismiregrasshopper,hoppercricketwalkingstick,w.Columns315through321cockroach,roachmantis,mantidcicada,cicalaleafhopperlacewing,lacewi.dragonfly,darni.damselflyColumns322

58、through327admiralringlet,ringlet.monarch,monarch.cabbagebutterflysulphurbutterfl.lycaenid,lycaen.Columns466through471 Columns396through402 starfish,seastarseaurchinseacucumber,ho.Columns335through342porcupine,hedgehogfoxsquirrel,ea.marmotColumns343through350wildboar,boar,.warthoghippopotamus,hi.Colu

59、mns351through358ibex,Capraibexhartebeestimpala,Aepycero.woodrabbit,cot.hareAngora,Angorar.hamsterbeaverguineapig,Cavi.sorrelzebraoxwaterbuffalo,w.bisonram,tuphog,pig,gruntebighorn,bighorn.gazelleArabiancamel,d.llamaweaselminkColumns359through365polecat,fitch,.black-footedfer.otterskunk,polecat,.badg

60、erarmadillothree-toedsloth.Columns366through370orangutan,orang.gorilla,Gorilla.chimpanzee,chim.gibbon,Hylobate.siamang,Hylobat.Columns371through377guenon,guenonm.patas,hussarmo.baboonmacaquelangurcolobus,boscismonkey.Columns378through383marmosetcapuchin,ringta.howlermonkey,h.titi,titimonk