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This project was developed to determine the objects with displayed accuracy for selected video in real-time using machine learning algorithm YOLO.

Python 100.00%
keras machine-learning object-detection opencv python tensorflow yolo

object-detection-system's Introduction

Object Detection System

• Object recognition is refers to a collection of related tasks for identifying objects in digital photographs or videos.
• This project is based on detecting objects in digital videos using the YOLO algorithm.
• This project was developed to determine the objects with displayed accuracy for selected video in real-time using machine learning algorithm YOLO.
• It was built using Python and Machine Learning with Keras, TensorFlow, OpenCV and YOLO algorithm technologies.
• This project takes a video file as input and provides real-time object detection with accuracy levels using modules.

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