Image Classification custom data train yolov8 in Google Colab for free | Computer vision tutorial
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- čas přidán 2. 06. 2024
- Code: github.com/computervisioneng/...
🎬 Timestamps ⏱️
0:00 Intro
0:24 Data
1:43 How to structure the data
5:32 Execute notebook on Google Colab
10:32 More comprehensive explanation
11:13 Outro
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Number 1, thanks Felipe!!
Thank you so much for the tutorial. I have trained the model and it gives satisfied results on images that I now give it. Please tell me (or please make a video about this) the process that how do i save that model and use it in a mobile application in Python that uses this model to detect the ingredients and then processes that list of those ingredients to generate further results. Also which platforms should I use for the coding and stuff. Please let me know, I have a project to complete, by the end of this week.
What about data.yaml file is that needed for training. Or we only need train test data only?
I love you, you are awesome
Nice
Image classification seems to be unable to classify pictures with very small differences. For example,I am working in a garment factory, different necklines and armholes are very similar. Yolo classification only get 70% accuracy.
Thank you for your video
I want to train model that can know brands of shoes like jordan nike Adidas etc ...
What should i use ?
So the input is the image of a shoe and the output is the brand of that shoe? You could try with yolov8 following this tutorial. Let me know how it goes! 🙌
@@ComputerVisionEngineer yeah sure
But problem is when i detect for example shose brand i need to know version of it
Like jordan (air force)
So there is two filters shose it self brand and model of it
Hey
Please publish a video with YOLOv8 and tracking, including car or truck counting and speeeeed estimation 🙏🙏🙏🙏
Sure, I will try to. 🙌
Hello, I wonder if you would like to make multilabel classification video.
Hello, this video is about multilabel classification.
F, that feels too easy
Sometimes training a machine learning model is a very simple process! 😃🙌
Nice