Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
NGレシート検知モデルの作成
Search
Kazuki Ishikawa
July 01, 2024
Programming
43
0
Share
NGレシート検知モデルの作成
モバイル端末で画像分類を行った話。
使用技術:Python, Xcode, CoreML, MobileNet
Kazuki Ishikawa
July 01, 2024
More Decks by Kazuki Ishikawa
See All by Kazuki Ishikawa
Docker imageを軽くしたい!!
kuroneko2828
0
25
機械学習って何? 5分で解説頑張ってみる
kuroneko2828
1
490
Other Decks in Programming
See All in Programming
Swift Concurrency Type System
inamiy
0
520
JOAI2026 1st solution - heron0519 -
heron0519
0
130
YJITとZJITにはイカなる違いがあるのか?
nakiym
0
220
Coding as Prompting Since 2025
ragingwind
0
830
事業会社でのセキュリティ長期インターンについて
masachikaura
0
250
Coding at the Speed of Thought: The New Era of Symfony Docker
dunglas
0
4.9k
夢の無限スパゲッティ製造機 -実装篇- #phpstudy
o0h
PRO
0
210
PHPで TLSのプロトコルを実装してみるをもう一度しゃべりたい
higaki_program
0
200
アーキテクチャモダナイゼーションとは何か
nwiizo
17
5.1k
UIの境界線をデザインする | React Tokyo #15 メイントーク
sasagar
2
360
SkillがSkillを生む:QA観点出しを自動化した
sontixyou
6
3.4k
ローカルで稼働するAI エージェントを超えて / beyond-local-ai-agents
gawa
3
280
Featured
See All Featured
Mobile First: as difficult as doing things right
swwweet
225
10k
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
110
Making the Leap to Tech Lead
cromwellryan
135
9.8k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
1
490
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
1.9k
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
120
KATA
mclloyd
PRO
35
15k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
370
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
210
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
270
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Transcript
©︎ WED, Inc. WEDגࣜձࣾ ʛ ੴथ NGϨγʔτ ݕϞσϧͷ࡞
2 ࣗݾհ ੴथ ུྺ 20243݄ ໊ݹେֶେֶӃ ଔۀ ಉ4݄ɹ WEDגࣜձࣾ ೖࣾ
৬छ ػցֶशΤϯδχΞ झຯ • Ṗղ͖ɺύζϧ • ిࢠϐΞϊ
3
4 ϨγʔτOCR ࡱӨ OCR ςΩετ ingenoël ϥϯδΣϊΤϧΠΦϯ Ϟʔϧژܡళ ژࢢೆ۠ٱੈߴాொ 376-1
ΠΦϯ075-925-0502Ϟʔ ϧژܡ1f ຖ͋Γ͕ͱ͏͍͟͝· ͢ɻ 201406݄18(Ր)11:51 31wb500800zz ֎ϫίʔϧόʔήϯ
5 ϨγʔτOCR ࡱӨ OCR ςΩετ 😢 OCRͷલஈ֊Ͱɺෆ໌ͳը૾Λ͖͍ͨ
6 Γ͍ͨ͜ͱ ࡱӨ NGϨγʔτ ݕ ωΠςΟϒ Ϋϥυ OCR OK NG
7 ͖͍ͨϨγʔτ • ͦͦϨγʔτ͡Όͳ͍ • ΅͚͍ͯΔ • ҉͗͢Δ • άγϟάγϟʹͳͬͯΔ
• ࢦͳͲ͕Ϩγʔτʹඃ͍ͬͯΔ
8 ༻ٕज़ CoreML • iOSͰػցֶशΛѻ͏ͨΊͷϑϨʔϜϫʔΫ • SwiftͰॻ͚Δ • ը૾ɺݴޠɺԻͳͲ৭ʑରԠ͍ͯ͠Δ MobileNet
V3 • ը૾ྨϞσϧ • ϞόΠϧͰಈ͔ͤΔ͘Β͍ܰྔ ◦ 6.1MB
9 ֶशσʔλ OCR݁ՌͰจࣈ͕ݕग़͞Εͳ͔ͬͨը૾Λऩू • ΅͚͍ͯΔ • ҉͗͢Δ • Ϩγʔτ͡Όͳ͍
Ϟσϧͷ࡞ 1. PyTorchͰϞσϧΛֶश 2. CoreMLϞσϧʹม 10
11 ωΠςΟϒ࣮
12 σϞ https://youtube.com/shorts/3EeoonhU0So?feature=share
13 ग़ྗྫ OK: 1.0 NG: 0.99 NG: 0.99
14 ग़ྗྫ OK: 0.90 OK: 1.0 OK: 1.0
15 ·ͱΊ NGϨγʔτݕϞσϧΛ࡞ • ωΠςΟϒͰಈ͔ͤΔΑ͏ɺܰྔͳϞσϧΛ࠾༻ ݁Ռ • ΅͚͍ͯΔը૾ɺ҉͗͢Δը૾ɿ👍 • Ϩγʔτ͡Όͳ͍ը૾ɿ😢
◦ ֶशσʔλෆʁ • άγϟάγϟͷϨγʔτɺࢦ͕ඃ͍ͬͯΔϨγʔτNGʹ͍ͨ͠