Row 2215

Row ID: 2215 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 2215 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

https://preview.redd.it/5sbnwkp87rcb1.png?width=1280&format=png&auto=webp&s=51daf668307f0e3d583dac372f7cbdd0592377c9

🎥 Discover the world of image classification using TensorFlow, Pixellib, and Python in our latest video tutorial! 🌟

Learn how to train and detect custom images, enhancing your computer vision skills. 📸🔍

In this informative tutorial, we'll explore the process of annotating objects within images, creating accurate labels with dot markings and JSON files. We'll also introduce the ResNet101 model, a powerful pre-trained deep learning architecture, to train our custom images and labels.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : [http://bit.ly/3HeDy1V](http://bit.ly/3HeDy1V)

Perfect course for every computer vision enthusiastic

A recommended book , [https://amzn.to/44GnlLW](https://amzn.to/44GnlLW) \- "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners "

Code for this video: [https://github.com/feitgemel/Object-Detection/tree/main/Pixellib](https://github.com/feitgemel/Object-Detection/tree/main/Pixellib)

The link for the video : [https://youtu.be/i9MEXrLtFOQ](https://youtu.be/i9MEXrLtFOQ)

Enjoy

Eran

\#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #pixellib

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