ZCZ-7641 Computer vision: British clay | Devoxx

Devoxx Belgium 2018
from Monday 12 November to Friday 16 November 2018.

   Computer vision: British clay

Tools-in-Action

Big Data & Machine Learning
Big Data & Machine Learning
Beginner & novice level
Room 6 Tuesday from 18:15 til 18:45

The artificial vision spectrum ranges from fully automated generic Image Content Analysis (just give a picture and get answers, no configuration needed!) to fine-tuned neural network frameworks.

In-between, AutoML techniques let you build high-accuracy prediction systems focused on your use case, discovering and learning the topology of your data of interest, without writing any line of code at all. For image classification, this typically involves providing hundreds of known photos to a platform to train a model, and then use this model to infer characteristics of new pictures. Supervised learning at its simplest: just show labeled samples, and you get a model.

I will demo several recent tools that help build a model from a collection of pictures and a list of labels, and compare the quality of the results. Each may have its own answer to this fundamental question: Is it easier to detect Wallace or to detect Gromit?

Computer Vision   Cloud Machine Learning   Machine learning  
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Valentin Deleplace
Valentin Deleplace
From Google

Valentin is a senior developer for backends, databases, cloud architecture, performance, algorithms, and UX. He currently works as a DA (developer advocate) for Google Cloud Platform.


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