object detection custom dataset using Yolov8 and Python | custom object detection in Google Colab

In this video, we are going to implement custom object detection using yolov8 and Python. We will train custom object detection model using google colab.
We need to carry out object detection on custom dataset when have to fine tune an existing model on our own dataset for our own task. In this video, we will be using the pretrained yolov8m.pt model from ultralytics for our task. Yolo custom object detection is the state of the art approach for detecting objects in videos and images and fine tuning helps to better the accuracy of the model on custom tasks. In our case, we will be using the traffic sign dataset available on Kaggle.
Yolov8 Github: github.com/ult...
Yolov8 documentation: docs.ultralyti...

[@sawankumar2088]

a brilliant man lost in view runs with other cannel best tutorial

[@user-oz2zf7oo8e]

i am getting no lables found error even though the lables are there in the data

[@zendr0]

learned a lot. Thank you for making. Waiting for more such awesome content.

[@11aniketkumar]

thanks bro! continue your great work, it really helped me.

[@harishdivase9493]

actually tell me in your train,test,val-folder- images folder do you created again four folder per labes? because im doing project on horse vs elephant classification but im getting one warning like labels are not detected but i alredy done annoation by using labelstudio, im confused about label folder and imges

[@shauryaawashti9472]

is there a way to change the location of the predict folder? it's saving outside my main data folder

[@mahmoudsaid7630]

RuntimeError: Dataset '/content/data.yaml' error ❌ 'str' object does not support item assignment how solve this error

[@CourseWare-xg2wq]

Thank you man it's really onpoint

[@ShaidaMuhammad]

I have two questions. 1). Does Yolo apply frame-by-frame detection on video? 2). How many examples are required for fine-tuning a model?

[@CodeNook3]

yes it is work frame by frame

[@music_love21]

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?

[@nachiadhi]

May i know on how did you import the code onto raspberry pi

[@farhanpasha5321]

Sir aone google drive ko mount kiya hai kya

[@esmadejacinthvana.3185]

tHEN HOW CAN YOU MAKE THIS A REAL TIME?LIKE AN OPENCV?

[@asif6523]

Need your support after the below line !yolo detect predict model="/content/runs/detect/train/weights/best.pt" source = "/content/video.mp4" I got an error NotImplementedError: A UTF-8 locale is required. Got ANSI_X3.4-1968 How can i solve this?

[@reemsaleh9550]

To resolve the issue, execute the following lines just before the problematic line: import locale locale.getpreferredencoding = lambda: "UTF-8"

[@Manishkumar-ww4gm]

very nice explanation

[@banothshailaja5284]

By which extensions I have to save files

[@hendragunawan119]

mantap ini yang saya cari makasih ilmunya

[@lorenzoleongutierrez7927]

thanks , great tutorial !

[@muhammadsabrimas2016]

can you explain how to using raytune for yolov8?

[@tjtj1122]

how to open code camera

[@emrenas3069]

can you send the colab link?

[@AbdelhamidAzanzal]

thanks for the tutorial can you make a video on yolov8 custom object detection on windows

[@user-cc9xg6yl2e]

how to create yaml file from data