- Intro to Custom Vision Portal and Create Project
8
- Upload image and tag it
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- Best images to use for Custom Vision
10
- Upload and tag 14 more images, then train AI
11
- Review results of training
12
- Test AI with a new image
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- Test AI with a complex image
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- Why we should tag "not bungee" objects in the image
15
- Tagging a images with "bungee" and "not bungee"
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- Train and review AI model with the new images
17
- Test AI with new images
18
- Recap
Description:
Learn how to build an image classifier using Azure Custom Vision to identify objects in images, inspired by the Lunar Rover from the Netflix Original "Over the Moon". Follow along as Dr. G demonstrates how to create and train an AI model to detect a specific character (Bungee) in images. Explore the process of setting up an Azure Custom Vision resource, uploading and tagging images, training the AI model, and testing its performance. Discover best practices for image selection, the importance of tagging both positive and negative examples, and how to refine your model for better accuracy. No coding experience required, making this tutorial accessible for beginners interested in AI and image recognition technology.
Use Azure Custom Vision to Repurpose the Lunar Rover