Train Your Custom Yolov8 Object Detection Model | step by step.

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In this video, we'll explore the fascinating world of fire detection using YOLOv8. YOLOv8 is a state-of-the-art object detection algorithm that has proven to be incredibly effective in detecting and localizing objects in real-time video streams. By training YOLOv8 on fire images, we can create a custom fire detection model that can detect and alert us to fires in our homes, businesses, and communities. In this tutorial, we'll walk you through the process of preparing your data, training your model, and testing its accuracy. Whether you're a beginner or an experienced data scientist, this video is a must-watch for anyone interested in fire detection and object detection using YOLOv8. Join us as we explore this exciting field and discover how you can use YOLOv8 to help keep yourself and others safe from the dangers of fire.
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Опубликовано:

30 сен 2024

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Комментарии : 59

@almusajole1143 3 дня назад

Can I work in visual studio code. Instead of pycharm

@tech_watt 3 дня назад

Yes you can do it

@vigneshmurugan2 6 месяцев назад

Please help me bro " no module named 'ultralytics' error in pycharm" please help me bro please....😭😭😭🙏🙏🙏

@tech_watt 6 месяцев назад

Install ultralytics in pycharm

@vigneshmurugan2 6 месяцев назад

@@tech_watt Bro I done 90% of your instruction only this error makes me sad.... Can you please tell me how to download that module... I'm new to pycharm

@DayoMichael.A Год назад

Maybe row,pitch and yaw or just any values that can be used to know the location of the detected object

@bhuppidhamii 4 месяца назад

I want to make a custome gun,knife detection using yolov8. can this works if I put my custom images in the dataset?

@tech_watt 4 месяца назад

Yes just follow the Same approach with your data 📊

@bhuppidhamii 4 месяца назад

@@tech_watt okay thank, you. i will try.

@DayoMichael.A Год назад

Hello, Great content Really helpful. For the object detection using the camera, i want to be able to know the coordinate for the location where the object has been detected. Can you help me with this? I will be so so grateful Thank you

@tech_watt Год назад

Watch this tutorial to understand the code used pls ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-jV1yvnmRxGA.html

@fedouakhend1522 6 месяцев назад

Hello, I am getting this error "RuntimeError: Dataset '/content/drive/MyDrive/data/data.yaml' error ❌ '/content/drive/MyDrive/data/data.yaml' does not exist" I checked the name and the path on my drive and everything seems okay, how to fix this error please?

@tech_watt 6 месяцев назад

Is your drive mounted in google colab?

@fedouakhend1522 6 месяцев назад

@@tech_watt yes it is! I've checked everything and everything seems to be fine but I'm still getting this error.

@tech_watt 6 месяцев назад

Rename the folder containing your data. Give it another name instead of data and try it. Don’t forget to send your feedback

@fedouakhend1522 6 месяцев назад

@@tech_watt I tried that too. But I'll try something different. Thank you

@tech_watt 6 месяцев назад

@fedouakhend1522 okay 👌 check out the ultralytics documentation for possible updates and also check your data structure

@dimitrisbino8341 7 месяцев назад

I for some reason cant run it and i need that fire detction model for a project urgently can i dm you

@tech_watt 7 месяцев назад

Yes you can

@vigneshmurugan2 6 месяцев назад

@@tech_wattNo module named 'ultralytics' error in pycharm please help me bro... Please😢😢😢😢😢😢

@omsuryawanshi5478 5 месяцев назад

can we train the model in VS code instead of collab ?

@tech_watt 5 месяцев назад

Yes you can train on your local machine. But colab gives you access to free GPU which can speed up your training process

@omsuryawanshi5478 5 месяцев назад

@@tech_watt thank u sir for ur fast reply, actually it was taking a lot of time for the file to upload on drive , so i decide to train it in VS code , and **can u suggest how can i increase the accuracy**

@DayoMichael.A Год назад

"RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions"~ It keeps bringing this error every time I try tot train the model Please do you know how to fix this?

@akazzzh 9 месяцев назад

Same issue Did u solve it?

@soulfulthoughts..3447 8 месяцев назад

Sir can i get the dataset for low intensity fire and high intensity fire and medium fire someone please help with this

@tech_watt 8 месяцев назад

Thanks for reaching out but unfortunately I don’t have such dataset

@alexandrosiii5676 3 месяца назад

Can I use this method with yolov5?

@tech_watt 3 месяца назад

You have to follow the data structure of YOLOv5. I will for sure make a tutorial about yolov5

@ayushtibrewal4535 Год назад

from where should i got you open cv code i am not able to found it

@tech_watt Год назад

The code is on my GitHub repository here: github.com/Tech-Watt/RU-vid-TUTORIAL-CODES/tree/main/Fire%20Detector%20Course

@tech_watt Год назад

Give me a feedback after leveraging it

@ayushtibrewal4535 Год назад

Thank you that's means a lot

@UnknownUkht-np6qy 5 месяцев назад

is there a video like this but mobileNet ssd ??

@tech_watt 5 месяцев назад

Not yet pls

@THEDOOMSLAYER999 6 месяцев назад

Hello, the best tutorial i have seen in RU-vid, can you tell me what model should i use for orange pi or raspberry pi?

@tech_watt 6 месяцев назад

For raspberry pi in case you want speed, you can use the nano model. You can also convert the model to OpenVino format for more speed. I have a tutorial on how to do that.

@THEDOOMSLAYER999 6 месяцев назад

@@tech_wattso with method you have shown i can make any yolo model? Not even v 8 ?

@whiteking80 7 месяцев назад

great course. Can i have the code .ipynb file as in your demonstration. I can't find any in your gitlab.

@tech_watt 7 месяцев назад

Is on GitHub here:github.com/Tech-Watt/RU-vid-TUTORIAL-CODES/tree/main/Fire%20Detector%20Course

@whiteking80 7 месяцев назад

@@tech_watt that's app code i can only see. But your code demo is showing how to train and generate model. Can you share this code?

@tech_watt 7 месяцев назад

@whiteking80 are you referring to the code I have used on google colab?. If yes then I will put it together and add it to the GitHub repository

@whiteking80 7 месяцев назад

@@tech_watt Yes, indeed! The code I utilized was on Google Colab. I'll gather it together and ensure it's added to our GitHub repository for further collaboration and tracking. Thank you for bringing that up!