https://github.com/vermavinay982/object-detector-by-classifier

Inspired by YOLO, using pre-trained weights and image splitting, Here I am localizing and classifying the objects to understand in-depth how it works.
https://github.com/vermavinay982/object-detector-by-classifier

color computer-vision deep-learning inception jupyter neural-network python resent vgg yolo

Last synced: 9 days ago
JSON representation

Inspired by YOLO, using pre-trained weights and image splitting, Here I am localizing and classifying the objects to understand in-depth how it works.

• Host: GitHub
• URL: https://github.com/vermavinay982/object-detector-by-classifier
• Owner: vermavinay982
• License: mit
• Created: 2021-01-23T20:00:45.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-02-14T18:48:14.000Z (over 3 years ago)
• Last Synced: 2024-10-14T14:12:00.638Z (24 days ago)
• Topics: color, computer-vision, deep-learning, inception, jupyter, neural-network, python, resent, vgg, yolo
• Language: Jupyter Notebook
• Homepage:
• Size: 13.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Object-Detector-from-Scratch

Inspired by YOLO, using pre-trained weights and image splitting, Here I am localizing and classifying the objects to understand in-depth how it works.

By using this we can find out which parts in the image are having maximum contribution in calling the arrangement of pixels and `Elephant`

Color of the boxes are as per the confidence of classifier for the particular segment of image.

Green - High Confidence & Red - Lower Confidence