TensorFlow.js Object Detection Made Easy
TensorFlow.js Object Detection Made Easy
In this video you're going to discover an easy way how to train a convolutional neural network for object detection and use the created TensorFlow.js machine learning model afterwards to detect Azure logos locally in your web browser.
Here's what I cover:
00:00 | Intro
00:55 | Preview what I will build
01:35 | Create a Custom Vision project
03:01 | Upload & tag the images
05:41 | Train the model
06:30 | Evaluate / test the model
07:42 | Export & download the model
09:10 | A first look inside the web app
10:32 | Integrate the model with TensorFlow.js
15:45 | Check the results
16:12 | Performance Optimizations
TensorFlow.JS is a great machine learning javascript-based framework to run your machine learning models locally in the web browser as well as on your server using node.js.
But defining your model structure and training it, is way more complex than just using a trained model.
Azure Custom Vision - one of the various Cognitive Services - offers you an easy way to avoid this hassle.
If you wan't to have a look at the final code, please check out my GitHub repository:
https://github.com/SaschaDittmann/tfj...
The dataset I used to train the model, can be downloaded here:
https://github.com/microsoft/AIVisual...
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🚀 Tools and services I used in this video:
TensorFlow.JS
https://www.tensorflow.org/js
Azure Custom Vision
https://www.customvision.ai/
Visual Studio Code
https://code.visualstudio.com/
✅ Recommended playlists:
TensorFlow.JS
• TensorFlow.JS
Data Science
• Data Science
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GitHub: https://github.com/SaschaDittmann
DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support my channel and allows me to continue making awesome videos like this. Thank you for the support!
#TensorFlowJS #CustomVision #ObjectDetection