SAHI YOLOv11

What is SAHI YOLOv11 ?

SAHI YOLOv11 is an object tracking and labeling tool designed to analyze videos. It is built on the YOLO (You Only Look Once) framework, optimized for accurate and efficient object detection in video streams. SAHI YOLOv11 is particularly suited for applications requiring real-time object tracking and labeling in video data.

Features

• High Accuracy: Delivers precise object detection and tracking in videos.
• Speed Optimization: Designed for fast processing, making it suitable for real-time applications.
• Multiple Object Tracking: Can track multiple objects simultaneously in a video stream.
• Customizable Labels: Allows users to define and apply custom labels to objects.
• Video Compatibility: Supports various video formats and resolutions.
• Low Latency: Ensures minimal delay in object detection and tracking.

How to use SAHI YOLOv11 ?

1. Install the Package: Use pip to install the SAHI YOLOv11 package.
2. Load the Video: Import and load the video file you want to analyze.
3. Initialize the Model: Set up the SAHI YOLOv11 model with your desired configuration.
4. Detect and Track Objects: Run the model on the video to detect and label objects in each frame.
5. Display Results: Output the video with tracked objects and labels.

Frequently Asked Questions

What makes SAHI YOLOv11 different from other YOLO models?
SAHI YOLOv11 is specifically optimized for video object tracking, offering enhanced performance in continuous object detection across frames compared to standard YOLO models.

Can SAHI YOLOv11 work with any video format?
Yes, SAHI YOLOv11 supports most common video formats, including MP4, AVI, and MOV, as well as various resolutions.

How can I customize the object labels?
You can customize labels by specifying a list of target labels during model initialization, ensuring only the objects you care about are detected and labeled.