How to Build Object Detection APIs Using TensorFlow and Flask

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

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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! 👍

Thanks so much for watching!
- The AI Guy

[TheAIGuy]

Let me know if you have any issues and I will do my best to help!

[abhishtsingh]

I love how you are actually putting up useful content. I'd love to learn how to deploy a model on a cloud VM (something like GCP) with the APIs.

[AffanSamad]

Thanks AI Guy. I would love to see if you could make a video by integrating this API with Web Application and Android App. Thumbs Up (Y)

[leamon]

Nice tutorial. Could you also mask a video for yolov4 API?

[giangbioinformatics]

I appreciate what you did here, and it will be better with your full tutorial and explainantion

[leedjik]

Now, I can make flask server with tensorflow!! thanks!!

[donaldkimpoua]

another one love it let me learn now ahhh thank you so much

[dylansoyboy]

Hey man, just want to say I really appreciate your videos. I had spent probably 80 hours going through tutorials that ended up not working for me. I just happened to see a post of yours on Reddit that lead me here. Just wanted to ask if you have any idea how we could implement real time detection with the API. Would we need to send each frame to the API to detect if the objects are present yet? Thanks again for all of your help!

[aryashreyas]

This is simply amazing... LOVE your work !!!

[zehn]

Amazing Tutorial of how to integrate yolo with flask to create an API. However, I would like you to take this further. If I want to run it as a webapp or something then how should I go about it? What will be the step after this?

[alaygut]

Hey, I absolutely love your tutorials. Please keep up the good work. You already taught me so much! Any suggestions on how to use the python wrapper for darknet?

[shuozhao]

Excellent, It's very helpful, Thank you very much

[dondom_]

Hello AI Guy, thank you for this video. Is it possible to do it with Yolov5? What i have to change?

[chaariamal]

Great video, can you please make video on how to connect the API with docker?

[mathiasechi]

Hello @The AI Guy. This is a wonderful video. I am actually trying to do something similar with the bounding boxes for mask rcnn. Can i use a .h5 weight file instead of the .weight file you used

[tonydang]

Thank you so much AI Guy! I really wish to see a video integrating this API with web APP. I am trying to go through it but I had spent days on it. I had tried Heroku and Pythonanywhere while neither worked.

[ahsanmukhtar]

Does this tutorial also work for YOLOv4 models?

[munirah]

Thanks for the great video !! Can you make a
video on how to connect the API with ios application in Xcode?

[rashmitiwari]

Hii, I wanted to build an object detection API but for the yolov5 model. Could you please make a tutorial on how to do that. I am new to this, so any help will be appreciable. thank you

[sam]

Thanks for the great tutorial, I wanted to ask how can we use the video streaming of raspberry pi (on a laptop using flask) as an input to a DL model (on the same laptop) for object detection then return the labels back to pi.
Thanks.