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
MLKit-munich.pdf
Search
Sergii Khomenko
September 08, 2018
0
38
MLKit-munich.pdf
Sergii Khomenko
September 08, 2018
Tweet
Share
More Decks by Sergii Khomenko
See All by Sergii Khomenko
Handle your Lambdas - From event-based processing to Continuous Integration / Munich AWS User Group - Mar 17, 2016
lc0
1
260
From Data Science to Production - deploy, scale, enjoy! / PyData Amsterdam - Mar 12, 2016
lc0
1
200
Building Data applications with Go: from Bloom filters to Data pipelines / FOSDEM - Jan 31, 2016
lc0
1
200
Building data pipelines: from simple to more advanced - hands-on experience / CrunchConf - Oct 29, 2015
lc0
0
100
Scaling up Business Intelligence from the scratch and to 15 countries worldwide / Budapest BI Forum - Oct 15, 2015
lc0
0
59
Secure Data Scalability at Stylight with Tableau Online and Amazon Redshift / Tableau Conference on Tour - Berlin - Jun 9, 2015
lc0
0
150
Helping Data Teams with Puppet / Puppet Camp London - Apr 13, 2015
lc0
0
240
Scaling your Tableau - Migrating from Tableau Online to a proper DWH solution / Munich Tableau User Group - Feb 26, 2015
lc0
0
66
Building Ranking Infrastructure: Data-Driven, Lean, Flexible - Sergii Khomenko, STYLIGHT / ApacheCon EU, Budapest 2014
lc0
0
61
Featured
See All Featured
brightonSEO & MeasureFest 2025 - Christian Goodrich - Winning strategies for Black Friday CRO & PPC
cargoodrich
3
97
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
910
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
250
Done Done
chrislema
186
16k
Utilizing Notion as your number one productivity tool
mfonobong
3
220
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
200
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
0
1.9k
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
120
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
53
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
280
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
10
1.1k
Designing for humans not robots
tammielis
254
26k
Transcript
Making your apps smart with MLKit From recognizing text to
recognizing landmarks and all the way to deploying custom Tensorflow Lite Models Sergii Khomenko, @lc0d3r
None
None
None
None
None
None
None
None
None
None
None
None
Dependencies
On-device text recognition
On-device text recognition
On-device text recognition
Cloud text recognition
Cloud text recognition
None
None
None
None
Key capabilities • TensorFlow Lite model hosting • On-device ML
inference • Automatic model fallback • Automatic model updates
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
MLKit + Firebase • Easy model delivery • Let you
focus on ML, not on mobile dev • “magic” features for free from Google
None
Links • https://codelabs.developers.google.com/codelabs/mlkit- android/index.html?index=..%2F..%2Fio2018#3 • https://firebase.google.com/docs/ml-kit/use-custom- models?authuser=0 • https://arxiv.org/abs/1503.02531