Train Yolov8 object detection on a custom dataset | Step by step guide | Computer vision tutorial

In this video I show you a super comprehensive step by step tutorial on how to use yolov8 to train an object detector on your own custom dataset!

🎬 Timestamps ⏱️

0:00 Intro
0:42 Data collection
5:04 Data annotation
19:49 Dataset structure
30:08 Train yolov8
50:15 Test yolov8
1:04:09 Outro

🌍 Community 👥


# Hashtags #

#yolov8 #yolo #objectdetection #computervision #computervisionengineer #computervisiontutorial

[ComputerVisionEngineer]

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[zhzolwu]

the fact that you have shown how to do it in both colab and locally is just amazing. you are sooo underrated. please don't stop making content. your content is sooo awesome

[ghstofverdansk]

Been working something similar for a hackathon in my freshman year, first thought was to build a CNN from scratch (with no prior knowledge in computer vision), then came across this video, you are a lifesaver man.

[dalecioustalk]

I am an aspiring AI engineer that is currently taking Electrical engineering in college. I am thankful to have found your channel today. I can now binge watch quality computer vision tutorials. 🎉🎉🎉

[DearAi]

youre so fluid coherent and elaborate 1 hour felt like 1 minute

[coreytaylor]

Dude you are great ! At the begining i was struggling with your accent but it ended up well.
I learned new things from you, such as data annotation, implementing YOLOv8.
I am grateful to you.

[narenderrawal]

this is the most easy to follow tutorial on customized objects and I could train it myself for traffic lights. Thank you so much..bless you!

[digvijaysingh]

Thank you very much for the amazing tutorial please keep making these videos no such material is on YouTube very very helpful for each aspiring student

[eleinaedelweiss]

thank you my man you wouldnt believe how much gratitude i have for this video and the fact you even showed how to run it locally as well. thanks man i reallly mean it.

[cwvohvu]

The video is of high quality, simple and practical, and avoids a lot of boring and difficult computer knowledge. As a beginner, I feel that I have received new knowledge, thank you.

[RIDWANLEKAN-ogyx]

You just gave me a comprehensive insight about annotation of image. Thanks

[MidoRaff]

I rarely comment on any videos, but yours was really one of a kind, love your way of explanation and teaching, wishing you well and truly thank you for your efforts!

[srgberni]

Thanks a lot for this tutorial!
I have spent hours in other tutorials that ended up being a copy paste of steps in Jupiter, but you went the extra mile to show and help us understand the whole process in our own computers.
This is really good work and is helping us learn a lot. Thanks heaps!

[humamalfariq]

Hallo saya dari Indonesia dan sangat berterima kasih kepada kalian para konten kreator yang mengajarkan AI ini❤

[khalilsabri]

great work and thanks for the tutorial, you're the first youtuber I have seen answering everyone's comments . Continue the great work !

[harshans]

Your videos are really simple and shares good amount of knowledge, as a beginner your videos always helped me a lot

[derekboase]

Thank you for the great video! Would love for you to dive into the fine-tuning and optimisation for this model. Do you have anything like that? For example, improving results using statistics of the ground truth images, hyper parameter tuning, etc...

[metehanguzel]

thanks, i've graduated thanks to you :D

[goonadventures]

If somebody is having problem with their config.yaml file, try naming the classes like this:
names:
- alpacas
- lamas
- whatever class you have

[yuribelentani]

the best explanation about how to apply Yolo V8. thank you! Your video helps me a lot