Ci bi mu melGis bi ci topp
Agent Voix en temps réel
Audio IA
GUIDE IA visuel
YOLO gis-gis ci jamono dëgg
YOLO (You Only Look Once) famiy xeetu gis mbir la buy gis ak etiketee mbir mu nekk ci benn nataal ak benn reso neuronal buy jaar, gaaw ba mëna wideo ci saasi.
Déglul tegtal biiIA-nettali · ~2 min
Ci xët wii2 simili jàng
Résumé
Its speed unlocked real-time vision on everything from drones to self-checkout kiosks.
Plongeur bu xóot
Laata YOLO, detektër yu melni R-CNN dañu daan doxal benn classifier ay junniy yoon ci gox yi am nataal, te loolu dafa yeex. YOLO, bi Joseph Redmon dugal ci 2015, dafa soppi gis-gis bi ni benn jafe-jafe regression: xaaj nataal bi ci benn griy, ba noppi selil bu nekk wax luy am ci boyet yi, poñ objectness, ak probabilite class ci benn pass forward. Boobu 'xool benn yoon' moo tax mu gëna gaaw detektër yu am ñaari etap te ba noppi di gëna dëggu. Famille bi dafa gaawa jëm kanam ci anam yu bari (YOLOv2 ba YOLOv8 ak ginaaw), yokk boîtes ancre, backbones yu gëna baax, ak bopp yu amul ancre. Variante yu bees yi dañuy daw lu ëpp 100 kadre ci seconde ci GPU, moo tax YOLO mooy tànneef biñ tànn sudee latency dafa am solo ni njub.
Doxal ci àdduna dëgg
Sistemu fayee sa bopp ak bitik yu amul xaalis ngir gis mbir yi jëndkat yi di leen jël
Dron yi ak robot mbay mi di gis mbay mi, ñaxx yu bonn yi wala baayima yi ci saa si
Kamera yiy saytu dem bi ak dikk bi, di lim oto yi, di gis doxkat yi ngir jàngat dëkk yu xarañ yi
Lignée de fabrication yi dañuy màndargaal pièce yu defoon ci kaw benn ceinture transporteur buy daw bu gaaw
Ëlëgu YOLO ci gis-gis ci jamono dëgg
YOLO mingi wéy di dem ci jëmmal, ak ay model yu gëna ndaw yuy dawal ci telefon, mikrokontrolëer, ak kamera yuñ samp te amul lëkkaloo cloud. Li gëna bees daal di boole ay komposaŋ transformatër ak jëmmal bu amul ancre ngir gëna jubal te baña yàq gaawaay bi. Xaarandil lëkkaloo bu gëna dëgër ak topp ak segmentation, gis vocabulaire bu ubbeeku buy xàmmee mbir yi ci laaj mbind moo gën etiketu fixe, ak wéyal bàyyi xel ci dox bu baax ci hardware bu yomb, bu néew doole ci catu.
Teg ko ci jëf
Lu tax mu am solo
- Gaawaay ak yaatuwaay. Visual IA mën na otomatise saytu, gis ak etiketu liggéey ci eskaal.
- Tabax tànneef. Ekipu kreatif yi mën nañu defar konsept yu gëna gaaw te duñu def lu bari ci loxo.
- Ekip ak def liggéey. Liggéeyukaay yi mën nañu jëfandikoo siñaal nataal wala wideo yu jafewoon lool ci liggéey.
Moytul
- Yelleefi nataal ak nangu mën na nekk risku yoon sudee fi ñu bawoo leerul.
- Performance model bi mën na wuute ci leeraay bi, demographie bi ak environmaa bi.
- Njuumteg positive yi mën nañu dem te kenn duko seetlu fileek xool wuñu buntu wóolu sa bopp.
Jéego yi ci topp
- Mandargal kritërium nangug njub, woowaat ak njëgu njuumte.
- Saytu ak done yu méngoo ak anam yi ñuy liggéeyee dëgg.
- Yokk jàngat nit ngir xam fu wóorul dara wala am njeexital yu rëy.
- Toppal model drift bi nga baaxal ko ginaaw bi kamera bi wala done yi soppeekoo.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the YOLO Real-Time Detection quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
What is YOLO Real-Time Detection?
YOLO (You Only Look Once) famiy xeetu gis mbir la buy gis ak etiketee mbir mu nekk ci benn nataal ak benn reso neuronal buy jaar, gaaw ba mëna wideo ci saasi. Gaawaayam moo ubbi gis-gis bi ci jamono dëgg ci lépp lu nekk dalee ko ci drone yi ba ci kiosk yiy fay seen bopp.
Luy tekki akronim YOLO ci anam yii?
YOLO mooy 'You Only Look Once,' loolu dafay tekki ni dafay gis mbir yépp ci benn reso neuronal buy romb nataal bi.
Which cross-domain evaluation did the original YOLO paper report?
The original paper reports evaluation on the Picasso and People-Art datasets as a test of generalization from natural images to artwork.
Ban pexe mooy dindi ñaari boyet yuy jaxasoo ci génnug YOLO?
Suppression bu amul maximum dafay tëye boîte bi gëna am wóolu boppam ba noppi sànni boîte yiy jaxasoo ci kaw benn threshold intersection-over-union.
Ci jëmmal YOLO, naka lañu xaajalee nataalu dugal bi ngir wax luy am?
YOLO dafay xaaj nataal bi ci griy S par S, te selil bu nekk moo wara wax luy waaja am ci boyet yi ak probabilite yi ci mbir yi ci digg bi.
Ban limu selil bu nekk ci griy bi di wax ci wetu coordonnée boîte bi?
Selul bu nekk dafay wax luy waaja am ci coordonnées box yi, poñ yi ñuy am ci wóolu seen bopp, ak probabilite yi ci klaas bi, ñoom ñépp boole leen ci benn pass forward.
Weyal di jàng
Gid yu jëm ci loolu
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