In this video, I described how to customize the #MediaPipe Model Maker for building an #image classifier using a custom dataset.
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MediaPipe's powerful image classification task allows you to perform image recognition across various platforms like #Android, #Python, #iOS, and #Web. Using transfer learning, how you can easily modify pre-existing models like EfficientNet-Lite0 and EfficientNet-Lite2 for custom use cases.

We'll walk through:

1) Model Maker capabilities
2) Training with dataset
3) Supported platforms: Python
4) Image processing tasks

Whether you are working on building an AI-powered mobile app or a desktop solution, this guide will help you get started with MediaPipe and TensorFlow Lite for efficient image classification tasks.

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