Day 23: YOLOv8: How to Train for Object Detection on a Custom Dataset (Step-by-Step)

In this video, we dive deep into YOLOv8, the cutting-edge real-time object detection model from Ultralytics. You will learn exactly how to prepare your own data, configure the environment, and train a custom YOLOv8 model from scratch to detect any object you want!

👉🏻Code and Resources: https://inceptionbd.com/course-details/computer-vision:-beginner-to-advanced-in-bangla

What we cover in this tutorial:
✅ Setting up your Python environment & installing YOLOv8.
✅ Annotating and preparing your custom dataset (using Roboflow/LabelImg).
✅ Configuring the .yaml data file.
✅ Running the training process on a local GPU or Google Colab.
✅ Evaluating model performance (mAP, Precision, Recall).
✅ Running inference to test your trained model on new images and videos.

#YOLOv8 #ObjectDetection #ComputerVision #DeepLearning #AI #MachineLearning #Python #Ultralytics #DataScience #ArtificialIntelligence #TechTutorial

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Видео Day 23: YOLOv8: How to Train for Object Detection on a Custom Dataset (Step-by-Step) канала Inception BD