Customize YOLOv8 Object Detection training with MLTU
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- Опубликовано: 15 май 2024
- Unleash the Power of YOLOv8! Learn Customized Object Detection Training with MLTU package.
Are you ready to supercharge your object detection skills? In this tutorial, I'll dive deep into customizing the Ultralytics YOLOv8 model for your own datasets and needs.
In this step-by-step guide, I'll walk through:
- Dataset Preparation: How to structure and load your custom dataset using MLTU utilities;
- Dataset checking: I'll demonstrate how you can check whether your dataset is in correct format;
- Model Configuration: Setting up the YOLOv8 model architecture for your specific task;
- Training Process: Customizing training with many augmentations and custom Metrics;
- Advanced Techniques: Learn about freezing layers, fine-tuning, and optimizing training;
With practical examples and insights, you'll master techniques to enhance your Object Detection projects. Whether you're new to YOLO or a seasoned practitioner, this tutorial will level up your skills and empower you to tackle complex detection tasks efficiently.
Dive into the world of YOLOv8 customization and unleash the potential of your Object Detection projects! Let's train smarter, not harder. Watch now to elevate your computer vision skills.
GitHub code: github.com/pythonlessons/mltu...
Dataset: www.kaggle.com/datasets/andre...
#yolov8 #yolo #objectdetection #ultralytics #python
Awesome video yet again. I wish I was a lot better at this machine learning code. Still hard to keep up for me but I am all learning a lot from your videos. Thank you. Cant wait for the trading robot also to be pushed to max performance. 🚀
Thank you for making these tutorials, they are amazing! I am trying to make a text detection model for full screen screenshots, I have started to adapt the object detection model on a different dataset (TextOCR - Text Extraction from Images Dataset) but am struggling to adapt the model for the different directory structure, are there some packages in the mltu library that would help read in this dataset?
You are welcome. May you open an issue on GitHub, I will help to create a loader for this dataset. Give me a link to this dataset also please so I could get some examples
@@PyLessons Thank you, I managed to adapt the code for the new dataset, but for some reason the training stopped at one epoch