Classify Agricultural Pests | Complete YOLOv8 Classification Tutorial
I am a computer vision engineer, focused on image classification based on CNN and transfer learning and OpenCV
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For anyone studying Image Classification Using YoloV8 Model on Custom dataset | classify Agricultural Pests
This tutorial walks through how to prepare an agricultural pests image dataset, structure it correctly for YOLOv8 classification, and then train a custom model from scratch. It also demonstrates how to run inference on new images and interpret the model outputs in a clear and practical way.
This tutorial composed of several parts :
🐍Create Conda enviroment and all the relevant Python libraries .
🔍 Download and prepare the data : We'll start by downloading the images, and preparing the dataset for the train
🛠️ Training : Run the train over our dataset
📊 Testing the Model: Once the model is trained, we'll show you how to test the model using a new and fresh image
Video explanation: https://youtu.be/--FPMF49Dpg
Link to the post for Medium users : https://medium.com/image-classification-tutorials/complete-yolov8-classification-tutorial-for-beginners-ad4944a7dc26
Written explanation with code: https://eranfeit.net/complete-yolov8-classification-tutorial-for-beginners/
This content is provided for educational purposes only. Constructive feedback and suggestions for improvement are welcome.
Eran Feit
