In this video we're going to take you through a quick tutorial using Amazon Rekognition to train and evaluate a baseline image classification model. In this tutorial, I will run through:
1. Creating a project and loading your data into Rekognition
2. And training a custom model and evaluating on an evaluation data set
The dataset used for this is a collection of white blood cell images covering granulo- and agranulo-cytes.
If there are any other tutorials that would be helpful, please comment below (We read them all).
Links:
The dataset used for this tutorial is available here:
https://www.kaggle.com/datasets/pault...
Good Rekognition Blogs:
https://aws.amazon.com/blogs/machine-...
The Rekognition Developer's Guide:
https://docs.aws.amazon.com/rekogniti...
Thanks for viewing!!