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How to Build Object Detection APIs Using TensorFlow and Flask

35.2K views
Feb 13, 2020
22:54

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. #tensorflow #objectdetection #API -----Resources----- Get the code here: https://github.com/theAIGuysCode/Object-Detection-API How to train custom yolo weights: https://www.youtube.com/watch?v=zJDUhGL26iU Create a TensorFlow Object Detection Classifer: https://www.youtube.com/watch?v=Zsd_HCvdrRA In this video I cover: 1. Setting up and Installing Dependencies 2. Downloading and Converting YOLOv3 weights into TensorFlow model files. 3. How to run a Flask app that creates two object detection APIs on your local host. If you enjoyed the video, toss it a like! 👍 To Subscribe: https://www.youtube.com/channel/UCrydcKaojc44XnuXrfhlV8Q?sub_confirmation=1 Thanks so much for watching! - The AI Guy

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How to Build Object Detection APIs Using TensorFlow and Flask | NatokHD