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Samantha Guerriero: Building an end-to-end ML pipeline for Object Detection Description Computer Vision is one of the hottest topics in AI. Building state-of-the-art Computer Vision models is within anyone’s reach thanks to the high availability of open-source research, online support, user-friendly high-level APIs and ready-to-use pre-trained models. But how do you put a Computer Vision model into production and serve it in a real-life application? Sam will walk us through an effective Object Detection built on GCP for one of Datatonic’s clients. The solution uses TensorFlow Object Detection API, ML Engine, Cloud Composer and Cloud Functions to identify stories on screenshots of news websites, automatically re-train the models and create annotation boxes for new data as it lands on GCS. This talk will give you a great example of how to effectively design an ML pipeline on Google Cloud. Biography Samantha is a Machine Learning Engineer at Datatonic, a team of data problem solvers working on cutting-edge Machine Learning solutions in the fields of Media, Telecom and Retail. Samantha Guerriero "Building an end-to-end ML pipeline for Object Detection" GDG Cloud Ldn - open source is for you Meetup event General Monthly Meetup of GDG Cloud London for April 2019 https://www.meetup.com/gdgcloud/event... Photos from the event https://www.facebook.com/pg/eddiejaou... Let me know in the comments below what other tips videos you would like to see Don’t forget to support my channel by subscribing below, it’s free. Subscribe now!! Follow on other socials for behind the scenes footage... http://eddiejaoude.github.io https://github.com/eddiejaoude / eddiejaoude / eddiejaoude / eddiejaoude / eddiejaoude