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UID:pretalx-euroscipy-2024-JWAMDE@pretalx.com
DTSTART;TZID=CET:20240829T160000
DTEND;TZID=CET:20240829T163000
DESCRIPTION:The world of open source computer vision has never been so exci
 ting - and so challenging. With so many options available to you\, what's 
 the best way to solve your real world problem? The questions are always th
 e same: Do I have enough data? Which model should I choose? How can I fine
 -tune and optimize the hyperparameters? \n\nIn collaboration with the Germ
 an Aerospace Center\, we investigated these questions to develop a model f
 or quality assurance of CFRP tape laying\, with only a small real data set
  fresh from production. We are very pleased to present a machine learning 
 setup that can empirically answer these questions. Not only for us\, but a
 lso for you - our setup can easily be transferred to your application!\n\n
 Dive with us into the world of Open Source machine learning tools that are
  perfectly tailored for your next project. Discover the seamless integrati
 on of Hugging Face Model Hub\, DvC and Ray Tune. You'll also gain unique i
 nsights into the fascinating world of CFRP tape laying\, specifically how 
 well different architectures of open source models perform on our small da
 taset.\n\nIf you want to level up your MLOps game and gain practical knowl
 edge of the latest computer vision models and practices\, this talk is a m
 ust for you. Don't miss the opportunity\, and look forward to your next co
 mputer vision projects!
DTSTAMP:20260313T223453Z
LOCATION:Room 7
SUMMARY:A Comparative Study of Open Source Computer Vision Models for Appli
 cation on Small Data: The Case of CFRP Tape Laying - Thomas Fraunholz\, Ti
 m Köhler
URL:https://pretalx.com/euroscipy-2024/talk/JWAMDE/
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