Object detection app using YOLOv8 and Android

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In this comprehensive tutorial, learn the complete process of training, testing, and exporting object detection models to TensorFlow Lite format for integration into mobile apps. Follow along as we delve into the intricacies of model training, validation, and optimization, ensuring optimal performance for real-world applications.

We'll start by guiding you through the process of training your own YOLOv8 object detection model using popular frameworks like TensorFlow and Keras. Gain insights into dataset preparation, model architecture selection, and fine-tuning parameters to achieve accurate object detection results.

Once your model is trained and tested, we'll walk you through the crucial steps of exporting it to TensorFlow Lite format. Understand the nuances of model conversion, ensuring seamless compatibility with mobile platforms while preserving performance and efficiency.

But that's not all! This tutorial goes beyond model creation, diving into the realm of mobile app development. Discover how to leverage Android Studio to create a custom Android app for object detection. We'll provide a step-by-step guide, from project setup to integrating the TensorFlow Lite model into your Android application.

By the end of this video, you'll have the skills and knowledge to embark on your own object detection journey, creating powerful mobile applications capable of real-time detection and recognition. Don't miss out on this comprehensive guide to building cutting-edge object detection solutions for Android devices!
#objectdetection #computervision #yolov8 #yolo
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You are such an amazing content provider for Professionals working in Artificial Intelligence & Data Science
Thank you so much

Sunil-ezhx
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hello, any suggestion how to optimise the app further so that the ms and the detection becomes faster? and maybe how to include int8 format?
any links/suggestions/example projects on how to make the detection faster?
thanks for any answer in advance

wellhell
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thank you for this video. helped me and my friends so much you wouldnt even believe. i wish you best. i couldnt thank you enough

baroksander
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For long time waiting for this, thanks

shantilalzanwar
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EVery helpful & simple way of explaination

arnavthakur
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You are a true inspiration madam.Thanks a lot for the lessons.

uqqqpjh
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Add Configuration is empty, then can't run. How to fix ?

lsdozwi
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thank you maam for this video tutorial this will help me a lot in my new project

RijulKansal
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i cant run the code in android studio, please help

sergiodavidflorestavara
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i am unable to run the app, "This app has stopped" did anyone know why is this happen? I use android 7 device

-IvanTandella
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Thank you very much for this video 💕Could the next video be about creating an audio feedback for this model using Spread-to-Text libraries etc. by Android Studio?🤭🙏

wheein
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Awesome, very helpful!, I have a question: If I would like to recognize a Pothole road with my App and also capture the GPS location, and store it in a table how can I do That in an android app? I am thinking in a car with a gopro camera connect to the android, while im driving i am detecting the quality of the street.

RoseDans
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Thanks a lot for the video. I have a question. @CodeWithAarohi why did you use kotlin instead of java like in yolov5 android app?

onewhoflutters
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hi ma'am, may I ask something, when I try to pip install tensorflow 2.13.1 inside jupyter. This error message appear: Could not find a version that satisfies the requirement tensorflow==2.13.1 (from versions: 2.16.0rc0, 2.16.1),

Do you know what caused it and how to fix it? Thanks

fabulousfire
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How can I lower the MS. Currently on my phone it is around 800MS wich makes the detections have a significant delay

_gledes_
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thanks for sharing. Every time we have to connect the mobile phone with PC or is there any separate app icon is created on phone to run ?

rajmeetsingh
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Greeting Ma'am, can the YOLOv9 be used to classify the images as i am trying to build a project on image classification . Thank You

Shaan_Tiwari
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thanks for the tutorial, it was very helpful, I have a question, the model I created is running quite slow, it was much faster when I tried it directly on the yolov8 model in python, is this slowdown because I converted it to tflite or do I need to make improvements in the code

merveyavuz
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Thank you .. i want ask u .. How long did it take? and Is this command correct for conversion in cmd (yolo export model=yolov8n.pt format=tflite) ..

asmaal-faqueeh
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getting error when trying to run the .pynb file.

shantilalzanwar