Object Detection Using TensorFlow Lite

Object Detection Using TensorFlow Lite. In this video, I walk you through a demosntarion of object detection using Tensorflow lite. So if you want to get a detailed understanding of how to build and an object detection application using TensorFlow lite, this is the Tensorflow Lite tutorial for you.

RESOURCES
_____________________________________________________________
FREE IOT VIDEO COURSES
You can download FREE IoT video courses here:
FREE IoT VIDEO COURSES

✔️How To Integrate Machine Learning Into Control Systems Using Tensorflow and MQTT

✔️ How To Build A Complete IIoT Solution Using Azure IoT Suite -

✔️ A Step by Step Guide to Building IIoT Apps using Windows 10 IoT Core -

✔️ Node-Red From Scratch: An Introductory Guide For Engineers, Developers, and Technicians -

✔️ Access All Course Here-
_____________________________________________________________
FREE EMAIL COURSES
You can access FREE Email courses here:
✔️ Getting Started Started With IIoT - Get the complete 30-day free email course that teaches you a step-by-step approach to successfully building IIoT solutions. Includes Strategy, Cybersecurity, Architecture & Development with example code.
_____________________________________________________________
MORE FUN
You can join hundreds of active members in our community and gain exclusive access to IoT tutorials by signing up here:
_______________________________________________________________

LET'S CONNECT:

SUBSCRIBE TO THE PODCAST:
🎙iTunes:
🎙Spotify:
🎙Google Play:
🎙Stitcher:

______________________________________

FREE IoT VIDEO COURSES

✔️How To Integrate Machine Learning Into Control Systems Using Tensorflow and MQTT

✔️ How To Build A Complete IIoT Solution Using Azure IoT Suite -

✔️ A Step by Step Guide to Building IIoT Apps using Windows 10 IoT Core -

✔️ Node-Red From Scratch: An Introductory Guide For Engineers, Developers, and Technicians -

✔️ Access All Course Here-
______________________________________

FREE EMAIL COURSES

✔️ Getting Started Started With IIoT - Get the complete 30-day free email course that teaches you a step-by-step approach to successfully building IIoT solutions. The course includes Strategy, Cybersecurity, Architecture & Development with example code.
______________________________________

MORE RESOURCES
______________________________________
LET'S CONNECT:

SUBSCRIBE TO THE PODCAST:
🎙iTunes:
🎙Spotify:
🎙Google Play:
🎙Stitcher:

DISCLAIMER: This video and description may contain affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support the channel and allows me to continue to make videos like this. I only recommend products that I use and love. Thank you for your support!

[areannainc]

Probably one of the better tutorials I have watched. Great job!

[muhammadatif]

Another great video :)
Thanks Kudzai!

[unlockwithjsr]

Dude!! I love your email course, it's so helpful!! I hope everyone subscribes, and your channel gets more merit. Love your work

[fanaitips]

thank you very much bro, great explanation...!

[YigalBZ]

Thank you for the clear video. Are you going to show how to train a specific object?

[bennedictbyy]

Very Well Explained. Thank you for the Demonstration. I am currently playing around with the Object Detection from TensorFlow Lite as well. Just wanted to ask, is there any way that we can tune the accuracy of the model? Like how to make it to classify objects at higher? like is it possible to further train the model to be even better? Do let me know your thoughts on this! =D

[ivanbeltrame]

Interesting ! ...But I need to detect vehicles only. Is it possible to optimize something for vehicles only to get the best performances ? I also need to check if a vehicle cross an imaginary line in one direction only and I suppose that decrease my PI performances. Thanks. Ivan

[vinitmotwani]

Excellent vedio bro can you also make vedio on yolov3 integration with raspberry pi

[swapnilgautam]

Great video.
But this is object classification not detection

[abhilashkaluwala]

How can we see the output in a window rather than a seeing it on a screen? What is the extra code needed to that?

[ansh]

Keras trained model is used to generate the h5 file, which further is used to generate the tflite file. After running the script: ValueError: kth(=1) out of bounds (1) error is generated. Anyone suggestions to remove this error.

[brianhauk]

How can this be improved so that object detection works over a wide range of angles, instead of for only a small range of angles? Adding many versions of each image shown at many angles is not a practical option.