Automate annotations for Vertex AI text datasets with Cloud Vision API and BQ

GDG Cloud Montreal

ML practitioners face challenges in annotating large training datasets. In this session, we will demonstrate a Jupyter Notebook that helps you automate the annotation of a training dataset where data has been manually extracted from before, with the help of CV API and BigQuery. As a bonus, we will show you how to use the resulting model to import data directly from G-Drive and Gmail into G-Sheets.

Sep 21, 2022, 3:45 – 5:15 PM (UTC)

28 RSVP'd

Key Themes

Google Cloud

About this event

ML practitioners face challenges in annotating large training datasets. In this session, we will demonstrate a Jupyter Notebook that helps you automate the annotation of a training dataset where data has been manually extracted from before, with the help of CV API and BigQuery. As a bonus, we will show you how to use the resulting model to import data directly from G-Drive and Gmail into G-Sheets.


Reference: https://cloud.google.com/blog/topics/developers-practitioners/automate-annotations-vertex-ai-text-datasets

When

When

Wednesday, September 21, 2022
3:45 PM – 5:15 PM (UTC)

Agenda

3:45 PMe-Doors opening
4:00 PMIntroductions
4:05 PMCool Blog Posts
4:15 PMOur main event

Speakers

  • Mohammad Al-Ansari

    Google

    Partner Developer Advocate

  • Stacy Véronneau

    TELUS Digital

    Senior Customer Engineer & GDE

Hosts

  • Stacy Véronneau

    TELUS Digital

    Senior Customer Engineer & GDE

  • Houda Kaddioui

    Allumiqs

    Sr Data Scientist | M.D

Partners

SADA logo

SADA

Google Cloud logo

Google Cloud

Organizers

  • Stacy Véronneau

    TELUS Digital

    Senior Customer Engineer

  • Florian LEY

    Davidson Canada

    Product Owner

  • César Bustamante

    PWC Canada

    Senior Manager Infrastructure

  • Arunesh Choudhary

    Dialabot.ai

    Conversational AI Engineer

  • Raphaëlle Giraud

    Cirque du Soleil Entertainment Group

    AI & Data Solution Lead