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Amazon Rekognitionを用いてフォロワーの男女比を出す
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Kazuki Ohashi
February 02, 2018
Technology
1
2.8k
Amazon Rekognitionを用いてフォロワーの男女比を出す
Amazon RekogntionとFace APIを比べながら、フォロワーの男女比を出してみました。
Kazuki Ohashi
February 02, 2018
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Transcript
"NB[PO3FLPHOJUJPOΛ༻͍ͯ ϑΥϩϫʔͷஉঁൺΛग़͢ WEBΤϯδχΞษڧձ #05 େڮ Ұथ @kzkohashi
େڮҰथ!L[LPIBTIJ ΠϯϑϧΤϯαʔϚʔέςΟϯά αʔόαΠυ ϑϩϯτத৺ झຯΧϨʔϥΠε
ϑΥϩϫʔͷใ ݟͨ͜ͱ͋Γ·͔͢ʁ
4/4ͷϑΥϩϫʔใ *OTUBHSBNΠϯαΠτ 5XJUUFS"OBMZUJDT
ଞਓͷΓ͍ͨʂ
Ͳ͏ΕͰ͖ΔͩΖ͏ʁ ϑΥϩϫʔ ϑΥϩϫʔ
إೝࣝΛͬͯஉঁྨਪʁ w จࣈϕʔεͰͷஉঁྨਪͦ͠͏ w 4/4ʹΑͬͯจࣈ͕গͳ͍߹͕͋Δ w ϓϩϑΟʔϧը૾͔Βஉ͔ঁ͔ͳΜͱ͘ͳ͘ Θ͔Γͦ͏
બఆख๏ͷௐࠪ ֎෦"1* ࣗલ 'BDF"1* $MPVE7JTPO 7JTVBM3FDPHOJUJPO 0QFO#3 ࣌ؒͱ͑Δ͓ۚΛߟ͑ͯ֎෦"1*͔Βબఆʂ "NB[PO3FLPHOJUJPO
͜Μͳײ͡ 'BDF"1* "NB[PO3FDPHOJUJPO
બఆൺΔ w ຕͷ4/4ͷϓϩϑը૾Λ༻ҙ w உੑຕ ঁੑຕ ͦͷଞຕ w 'BDF"1*ͱ"NB[PO3FLPHOJUJPOͰൺֱ ͋ΔํͷૉΒ͍͠ϒϩάͰࣝผ͕͔ͳΓΑ͔ͬͨʂ
ൺͨ݁Ռ ਖ਼ छྨ உੑ ঁੑ ͦͷଞ Amazon Rekognition 112(68%) 174(75%)
512(92%) Face API 75(46%) 121(52%) 522(94%) ୯७ͳਖ਼"NB[PO3FLPHOJUJPO͕ଟ͍
ൺͨ݁Ռʢޡʣ छྨ ঁੑ Amazon Rekognition 13 Face API 5 छྨ
உੑ Amazon Rekognition 5 Face API 3 ͕͑ঁੑͷը૾ ͕͑உੑͷը૾ ޡ'BDF"1*ͷ΄͏͕গͳͦ͏
'BDF"1* "NB[PO3FLPHOJUJPO ޱͳͲݟ͑ͳ͍ͱ'BDF"1*ݕग़ͮ͠Β͍ʁ ݕग़ࣦഊ ݕग़ޭ
'BDF"1* "NB[PO3FLPHOJUJPO 4/4ը૾ਅਖ਼໘Λ͋·Γ͍ͯͳ͍ͨΊݕग़ʹ͕ࠩग़ͨʁ ݕग़ࣦഊ ݕग़ޭ
'BDF"1* "NB[PO3FLPHOJUJPO ࣝผޭ͚ͨ͠Ͳ Ұਓ͚ͩݕग़ ೋਓݕग़͚ͨ͠Ͳ ࣝผࣦഊ ݕग़ͪ͠Ό͑'BDF"1*ڧ͍ɾɾɾ
'BDF"1* "NB[PO3FLPHOJUJPO ͜͏͍͏͜ͱ͋Δʢসʣ ࣝผޭ͚ͨ͠Ͳ ͲͪΒঁੑͱޡೝࣝ
બఆ·ͱΊ w 'BDF"1*ͷ΄͏͕ਫ਼ྑͦ͞͏ w ͨͩɺޱͱ͔ӅΕͨΓ͍ͯ͠Δ4/4ը૾ͷݕग़ѱ͗͢Δ w ࣝผͱݕग़ͷόϥϯεͰ"NB[PO3FLPHOJUJPOʹܾఆ ʢ୯७ͳਖ਼ͳΒΑ͔ͬͨʣ "NB[PO3FLPHOJUJPO
"NB[PO3FLPHOJUJPOͱ w "84͕ఏڙ͍ͯ͠Δɺը૾ࣝผαʔϏε w إೝ͚ࣝͩͰͳ͘ɺΦϒδΣΫτʢؠͱ͔ʣͷݕग़ ൺֱͱ͔Ͱ͖Δ w ͍͍ͳͱࢥͬͨͷɺஉঁࣝผʹ৴པ͕͍͍ͭͯΔ ͍·͞Β
(FOEFS\ 7BMVF.BMF $POpEFODF ^ ৴པ ࣗͨͪͷαʔϏεʹԠͯ͡ᮢܾΊΕΔ
ΞʔΩςΫνϟ ϓϩϑը૾ μϯϩʔυ ϑΥϩϫʔใ σϑΥϧτը૾͔ ൱͔ Ξοϓϩʔυ ˞ ˞͓͍ۚͬͨͳ͍ͷͰɺσϑΥϧτը૾ͷਓল͍ͯΔ
IUUQL[LPIBTIJIBUFOBCMPHDPNFOUSZ ʢQZUIPOΛͬͯ03#ͱ1FSDFQUVBM)BTIͰը૾ͷྨࣅΛൺͯΈΔ ৴པͷᮢ உঁใ "NB[PO3FLPHOJUJPO KTPO
݁Ռ ͑ ঁੑ உੑ ࠓճͷγεςϜ ˞ ঁੑ உੑ ˞αϯϓϦϯάϥϯμϜͰׂ̍ఔ
·ͱΊ w ը૾ࣝผ"1*৭ʑ͋Δ w ༻్ʹ߹Θͤͯࣝผͱݕग़ͷόϥϯεͰબ w ϓϩϑը૾͚ͩͰஉঁൺͱΕͨ
͓·͚ ͜ͷൺʹຊʹͳΔͷ͔ࢼͨ͠ छྨ உੑ ঁੑ ͦͷଞ ࣗͰ͑Δ 65%(97) 35%(52) 12
Amazon Rekognition 46%(36) 54%(42) 22 Face API 51%(21) 49%(20) 121 ͳΔ΄Ͳɾɾɾ