Sign Language Detection with YOLOv5

11 Jan 2022
5 min read

Last updated: February 1, 2023


In this project, we show how ZenML empowers users to build, track and deploy a computer vision pipeline using the most popular tools in the industry. You will learn how to train a YOLOv5 model on Vertex AI, track experiments with MLflow, and deploy a BentoML bundle to the Vertex AI endpoint.

We will construct a pipeline for this project which loads the data, trains a model, and trains a model remotely in VertexAI.

Use case

This project can be used anywhere you need to create a pipeline to train object detection models and deploy them at scale on Vertex AI.

Stack and Components

This project uses the following Stack Components:



The codes to reproduce this project are open-source ZenML Project repository on GitHub. View the code here.

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