How to train YOLOv8 Object Detection on Custom Dataset | step by step Tutorial | Google Colab

YOLOv8 is the latest version of the highly influential YOLO (You Only Look Once) architecture. YOLOv8 was developed by Ultralytics, a team known for its work on YOLOv3 and YOLOv5.

YOLOv6 and YOLOv7 started doing segmentation and classification tasks along with the object detection task. YOLOv8 follows the same trend.The model itself is created in PyTorch and runs on both the CPU and GPU.

This tutorial contains:
1. How to download data
2. How to prepare a train-val split dataset
3. How to run training with different configurations
4. How to save trained model weight on google colab
5. How to do prediction on images
6. How to do predictions on videos
7. How to save images and videos on google drive

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#yolov8 #objectdetection #coderzero

[vimalsolanki]

i tried many tutorial but this tutorial is best and briefly explain each terms thank you very much

[DikshithaKV]

Thank you so much literally searched so many videos, finally found your video, it was a really great help, thank you😄

[Permian]

Thank you. Thank you. Thank you Mr. Coder Zero. I have spent a year and a half trying to figure out this stupid ass YOLO object detection and finally, courtesy of your video, I have now managed to figure it out. Hot dog! I am now a happy camper. I can now expire in peace!

[shailendralowanshi]

Very good vedio, everything is in detail. Thankyou for that. Keep helping

[sowmiyas]

Thank you so much, sir, for the excellent explanation. It really helped me in my project. Again thank you, sir.

[justavrilm]

thank you so much for being so clear and concise

[jonesin]

Thank thank youuuu very much Mr... You helped me a Lot !!! May God Bless you

[yiksengtee]

For those who had the issue of not being able to save the files to "runs/detect/predict" after finish generating at the inferencing section (regardless its for images or videos), try adding "save=True" at the end of the prompt.

[carlos.sousa.]

I have a huge dataset and after running it 10-15 epochs I always get an error message saying an image was not found but in reality it was always there in the dataset.
Can you help?
In my local environment I never had that error message, but I tried Google Colab because it has more resources.

[shreyaspatil]

one doubt i had the video after testing is getting saved in form of frames and not mp4 what to do

[marthagichuki]

Great video and explanation. How do we get the test images? are they part of the content in data folder?

[alfibima]

Thank you for sharing.
I want to ask something. I have trained data on colab. But the color of the bounding box between class 1 and the others is almost the same. how to change bounding box color?

[somasekhar]

can you tell me where didi you downloaded the 8 videos in the drive

[bLack-hfqm]

Where I will gets the videos???? They are not in kaggle dataset

[sheicodes]

is it advisable to use jupyter nb in vscode than google colab to train more than 10k images? suppose i have a ryzen 7 laptop

[xinloongfoo]

I would like to ask what if i would like to detect some other objects like resistor, inductor and capacitor which is the electrical component how would i do that?

[vikashkumar-cree]

Hi Deepak I couldn't find any video for inferencing on kaggle . Where did you get that ?

[gandharvathite]

Nice tutorial man, just one question, how to get the locations (coordinates) of the boxes that are drawn in test images

[obaidulhasansouhag]

Hey, Your video is very good and easy to understand. Could you make an tutorial how to install YOLO V8 for amd in windows 11? There is a tutorial in amd youtube channel about this but it is too hard to understand. Looking for your quick response.

[positiveaura]

thank you for the tutorial. May i please know why i get this error (FileNotFoundError: [Errno 2] No such file or directory: when i run the codes to split the dataset?