Train Yolov8 custom dataset on Google Colab | Object detection | Computer vision tutorial

🎬 Timestamps ⏱️
0:00 Intro
0:30 Google Drive directory
1:07 Data structure
4:37 Dataset
6:24 Train
14:38 Deep dive
15:06 Outro

🌍 Community 👥


#python #yolov8 #objectdetection #googlecolab #trainoncustomdata

[AngelsVault]

"It's very very important that the folders must be named "train" and "val"" That just saved my entire career

[jeffreywong]

Thankyou for giving ideas how to train in different platforms ❤

[indumathim]

Your explanation was excellent! It would be even better if you could demonstrate it through testing

[danilzubarev]

Always the most exciting notifications 😂

[confidenceoguebu]

Thanks for this tutorial. I didn't see how you normalized the images before training. Could you please explain more about image normalization for YOLOv8 training?

[houikge]

if i want to train object detection for multiple object classes, then if i just dump all the images into the images/train and all the labels under labels/train will that do? Or do i have to have seperate folders for each and every object class?

[pmbcwbj]

Love the simplicity of the way you teach, it's training right now I hope it works. One question, after training the model how can we test on Colab like giving it other images and see if they detect the object ?

[betulkaraca]

Just this 4 words enough to summerize the video "bery bery bery amaizing" :)

[rudranshkaushik]

hello sir can you please tell me how to use that trained model on an input image

[music_love]

Hi! We are creating a system that classifies tomato ripeness levels using image processing in CNN architecture with the YOLOv8 model. We are using Raspberry Pi 4 OS with 4GB RAM and we have encountered a problem - the system has 2-3 minute delay/lag in classifying the ripeness level. Would you happen to have any recommendation/suggestion sir on this problem?

[mattfredericks]

Can you tell me or point to a resource that will explain how to train a custom model that can detect two different objects using separate images of one thing (say one set of images of cats and one set of dogs ) . Please and thank you.

[wordpreneur]

Please how can I build a streamlit app for the custom model I have created?

[rajdamle]

after training model, if i want to do real time detection using my webcam how to do

[tarkaliugur]

Thanx for the tutorial. As far as i know on your example you have results for training and validation data. what if we want to test it on another test dataset and get the results (f1 score, recall etc. l) from it? I mean if we have test dataset as a whole and we want to get performance results on that dataset? What do we do?

[rismazuliant]

Hi sir, I'm a beginner here.

Could you please tell me how to get the yaml file that you mentioned in the video. Thanks

[obaidulhasansouhag]

I installed ultralytics in google colab but it is showing No module named 'ultralytics'. what is the solution ? I am Using AMD processor and graphics.

[diydollhouse]

Thanks for this tutorial please do a video on how to move your model from colab to pycharm and still get it working

[AhmedAathif-vnkx]

can I know from where I open your google colab page or directory? NO link is given in distription
🤥

[kumarsaurabh]

Can this training be done on CPU or I need GPU?

[sidbhattnoida]

Hi are you able to use cuda cores of the tesla t4 gpu while training. It should automatically detect a gpu if it is present...as given in the ultralytics documentation...thats not happening for me and by default a cpu is being selected which are increasing the training time...do yo have any solution for the same?