I participated in the AIM305-R [REPEAT] Automatically Extract Metadata Using Computer Vision & Language AI Services of the builders session.
The builders session is a group session with AWS Solution Architect and five participants.
Here is the session summary from the Event Catalog.
Customers are using automatic metadata extraction to fuel new insights and provide innovative services to their customers. In this session, we walk through the basic architecture patterns for implementing automatic metadata extraction using Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. We also share how to get started with the pre-configured AWS Media Analysis Solution.
We will present AWS's solution architect, and will build it according to the following documents:
Step 1. Launch the Stack
We will use CloudFormation template (media-analysis-deploy.template) prepared in advance.
Stack name and
- Specify Details
- Stack name:
- Email address:
The email address will be created in the Amazon Cognito Identity Pool. Steps to log into the web site will be sent to the email address.
Check the following and click
- I acknowledge that AWS CloudFormation might create IAM resources with custom names.
- I acknowledge that AWS CloudFormation might require the following capability: CAPABILITY_AUTO_EXPAND
We will access the web site from the email link.
Step 2. Upload a File for Processing
We will attempt to sign up and upload images and videos.
We can also check the progress in the AWS Step Functions console from View progress in your AWS Console.
Step 3. View Extracted Metadata
After extracting the metadata, we can check the extracted metadata by clicking View results.
- Facial Attributes
The topic Artificial Intelligence & Machine Learning is popular nowadays, and from this session, I learnt that builders session can actually be constructed and we can grasp the image of the solution. Since there were only a few people, we were able to ask questions and hold open discussions.