https://github.com/zainashrafofficial/image_objects_detector

Objects Detection in Image using Python, YOLO and OpenCV
https://github.com/zainashrafofficial/image_objects_detector

desktop-application opencv python vscode yolo

Last synced: about 1 year ago
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Objects Detection in Image using Python, YOLO and OpenCV

• Host: GitHub
• URL: https://github.com/zainashrafofficial/image_objects_detector
• Owner: zainashrafofficial
• License: mit
• Created: 2024-06-24T11:20:21.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-06-24T12:55:08.000Z (almost 2 years ago)
• Last Synced: 2025-03-24T16:41:45.879Z (about 1 year ago)
• Topics: desktop-application, opencv, python, vscode, yolo
• Language: Python
• Homepage:
• Size: 2.31 MB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Objects Detection in Image

Objects of Image Detection using Python, YOLO and OpenCV. This is the project which i have created just for fun and an assigned task to me from my office colleague, i had no expderience of python before this, i am new to python, as i have experience in Web Apps and Websites. But, this i accepted this challenge and create my first python project of Objects Detection in Image. I created it in just a one day using AI and my creativity.

## Steps to Run this Application



  


    Python Installed and also Included in Environment Variables.

  

  


    OpenCV, Python's Library which you can install using command: "pip install opencv-python"

  

  


    Yolo, YOLO is a object detection algorithm which stand for You Only Look Once. I've implemented the algorithm in Python using pre-trained weights using YOLO. You can install it using command: "pip install yolo"

  



  

	

		Gaming Cars Detection

	

	

				

	

	  

		Office Room Image

	

	

		

	

	

		Real Cars Detection

	

	

		

	

	

		Real Room Detection

	

	

		

	

You can use pretrained models for image objects detection as a beginner, Pre-trained Models are the most common and beginner-friendly approach. You can use pre-trained models like YOLOv5, SSD (Single Shot MultiBox Detector), or Faster R-CNN with libraries like TensorFlow or PyTorch. These models are already trained on large datasets and can detect various objects.