Add Ultralytics (YOLO) to Computer Vision section

[aasimansari1]

Description

This PR adds Ultralytics to the Computer Vision section.

Why this resource is valuable

Ultralytics is the de-facto standard Python library for real-time object detection, segmentation, and classification:

• YOLO family: Implements YOLOv8, YOLOv11, and newer YOLO models with a clean Python API
• Multi-task: Supports object detection, instance segmentation, pose estimation, oriented bounding boxes, and image classification in one unified framework
• Production-ready: Used in robotics, autonomous vehicles, surveillance, and medical imaging
• Ease of use: Train a custom model in 3 lines of Python; export to ONNX, TensorRT, CoreML, and more
• Extremely popular: 32k+ GitHub stars, actively maintained with weekly releases

The Computer Vision section currently lists OCR and general CV libraries but lacks a representative real-time detection library, which Ultralytics fills perfectly.