YoloZone

A powerful computer vision toolkit built on YOLOv8, designed for simplicity and performance

Overview

YoloZone simplifies computer vision tasks by providing intuitive interfaces for:

Object Detection

Detect and classify objects with state-of-the-art accuracy

Pose Estimation

Track human poses and keypoints in real-time

Traffic Analysis

Advanced traffic monitoring and analysis capabilities

Installation

pip install yolozone

Dependencies

  • ultralytics (YOLOv8)
  • opencv-python
  • numpy

Modules

Objects

Powerful object detection and classification with support for custom models and multiple detection strategies.

View Documentation →

Pose

Advanced human pose estimation with real-time tracking and keypoint detection capabilities.

View Documentation →

Tracker

Robust object tracking with motion analysis and trajectory prediction features.

View Documentation →

Examples

Object Detection

Learn how to detect and classify objects in images and videos with just a few lines of code.

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Pose Estimation

Explore how to implement human pose detection and tracking in your applications.

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Object Tracking

Discover advanced object tracking techniques and movement analysis.

View Example →