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.

[zendr]

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

[aniketkumar]

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

[CourseWare-xgwq]

Thank you man it's really onpoint

[sawankumar]

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

[hendragunawan]

mantap ini yang saya cari makasih ilmunya

[shauryaawashti]

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

[harishdivase]

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

[AbdelhamidAzanzal]

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

[muhammadsabrimas]

can you explain how to using raytune for yolov8?

[ozzfooe]

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

[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?

[banothshailaja]

By which extensions I have to save files

[farhanpasha]

Sir aone google drive ko mount kiya hai kya

[esmadejacinthvana.]

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

[mahmoudsaid]

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

[asif]

Need your support

after the below line
!yolo detect predict 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?

[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?