Learn how to build Object Detection APIs through deploying a Flask application that runs TensorFlow. This video will show how to create two different REST APIs that will allow you to detect 80 different classes within images. This tutorial is great at demonstrating how to build APIs that could be used for a Web or Mobile application to run object detections.
Yolov3 is an algorithm that uses deep convolutional neural networks to perform object detection. This repository implements Yolov3 using TensorFlow 2.0 and creates two easy-to-use APIs that you can integrate into web or mobile applications.

Get the code here: https://github.com/theAIGuysCode/Object-Detection-API
Hi Noelia, you are referring to a video but I can’t find it. Is not available anymore?
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NVM, just found it, it’s at github. sorry!
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Don´t worry! Have a happy summer!
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