This repository provides a streamlined framework for training and deploying various Ultralytics YOLO models.
The project offers the official Ultralytics YOLO implementations, including YOLOv8, in Python. It's designed for computer vision tasks like object detection, instance segmentation, and pose estimation. Users can easily train custom models via the CLI (e.g., `yolo train`) or utilize pre-trained weights for inference (e.g., `yolo predict`), with support for notebook environments like Colab and Kaggle.
This repository provides a streamlined framework for training and deploying various Ultralytics YOLO models.
Data scientists, researchers, and developers focused on applying state-of-the-art YOLO models for computer vision tasks should use this.