This repository contains code and resources for various computer vision tasks, including:
- Object Detection: Using YOLOv8 for detecting and classifying objects in images.
- Data Preparation: Tools for preparing and augmenting datasets for deep learning.
- Model Training: Scripts and notebooks for training neural networks using PyTorch and other deep learning frameworks.
- Evaluation: Methods for assessing model performance with various metrics like accuracy, precision, recall, and F1-score.