Real-Time Object Detection on Video Using YOLOv8 and Ultralytics

In this implementation, we leverage Ultralytics YOLOv11 for real-time object detection on a video file. The workflow is performed using Google Colab, which supports installing dependencies and executing Python code seamlessly.

Steps to Perform Object Detection on Video

1. Install Ultralytics

! pip install ultralytics

2. Load YOLOv11 Model

from ultralytics import YOLO
model = YOLO("yolo11m.pt")

3.Run Object Detection on Video

results = model("/content/Pedestrian.mp4", save=True)