Ultralytics YOLO 8.4.0

Ultralytics YOLO is a family of state-of-the-art object detection models based on the You Only Look Once (YOLO) architecture, developed by Ultralytics LLC.

Key features include real-time object detection, high accuracy, simple implementation, and support for custom datasets.

You can install Ultralytics YOLO using pip by running the command `pip install ultralytics` in your terminal.

Yes, Ultralytics YOLO allows you to train your own models using custom datasets with simple configuration options.

Ultralytics YOLO is primarily built with Python and utilizes libraries such as PyTorch for deep learning.

Yes, Ultralytics YOLO is open-source and can be used for free under the terms of its license.

Ultralytics YOLO can detect a wide range of objects, including people, animals, vehicles, and various items, depending on the trained model.

Yes, comprehensive documentation is available on the official Ultralytics GitHub repository and website.

Yes, there are optimized versions of Ultralytics YOLO designed to run efficiently on edge devices like Raspberry Pi and mobile platforms.

Ultralytics YOLO is designed to perform well in various conditions, but performance may vary based on lighting, occlusions, and background clutter.