🚀Top Tutorials for Deploying Custom YOLOv8🔥 on Android⚡️

部署自訂義 YOLOv8🔥 到 Android⚡️ 端的🚀最佳教程

In this tutorial, I’ll show you how to deploy YOLOv8 using custom datasets on an Android device.

Want to learn how to deploy YOLOv8 with your own data set on an Android device? I’ll walk you through it in this tutorial.

If you’re interested in deploying YOLOv8 with custom data sets on an Android device, you’re in luck! This tutorial will show you how.

🔥Step 1— Training YOLOv8 with a Custom Dataset
⭐Clone the Git Repository and Install YOLOv8
⭐Performing Inference using a Pre-trained Weights
⭐Data Preparation and Format Conversion
⭐Running the Training Process
⭐Converting the Weights to ONNX Format
⭐Converting the Weights to NCNN Format

🔥Step 2— Building and running on Android Studio
⭐Download ncnn-android-yolov8
⭐Download ncnn
⭐Download opencv-mobile
⭐Opening ncnn-android-yolov8 with Android Studio
⭐Placing NCNN Format Weights in Folder

#machinelearning #deeplearning #computervision #artificialintelligence #objectdetection #yolov8 #yolo #yolo #custom #android #androidapp #mobile #tflite #onnx #ncnn

🚀About Author

Gary Tsai, I have over 2 years of experience in developing AI solutions and integrating AI technologies into foundry operations. My areas of expertise include cross-departmental coordination, independent project design, establishing project development and maintenance processes, and introducing deep learning techniques for foundry wafer image classification and object detection. Throughout my career, I have collaborated with various departments within the foundry, such as Layout, Etch, and Model departments, to successfully complete multiple AI projects, including circuit inductance component object detection, GaAs wafer defect image classification, etc.

My contributions to these projects have enabled the foundry to streamline operations, improve product quality, and reduce costs through the use of AI technologies.

[deidy]

How I do this in ultralytics==8.0.196 for modules.py, in this version we do not have this file?

[mighwarfaris]

thank you sir for tutorial, but i try to following exact steps with custom chip detection i change everything on yolo.cpp, the class names, the num class, the parampath, and the blob name but after running the app on my android device it not showing any detection or bounding boxes, i try with the default model then the app running successfully, is there some steps did you skip record it on this video? thanks

[CodewithMat-it]

Hey Mr. Tsai, can you also provide a demonstration for instance segmentation? Your object detection already works fine in installing in my android device but could you please do a tutorial on instance segmentation as well

[sheilamaecraus]

Hello, is it possible if you could share the google colab file? Thanks!

[duhmoments]

I want to add a text to speech feature to my detection project can anyone help with that?

[badodorts]

i tried building this one but it doesn't detect anything that i trained on model

[sheilamaecraus]

Hello sir, how did you build the project to APK?

[장영훈-kn]

This is a very useful video!!
I have a question.
I am trying to create an application that reads when an object is detected.
But I wonder where in the code can I check that the object was detected?
Thankyou.

[TUmrobot]

I have a problem when i try to convert onnx to ncnn format everything is ok but when i put weight best.bin in assets folder and try to run android app and suddenly app close. i check best.param format compare with yolov8n.param it seem format is change.
So please help cheack what a root cause of problem.