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YOLO ALGORITHM

Tanuj

Tanuj

New Delhi, Delhi

1 0
  • 0 Collaborators

This project implements the YOLO(You Only Look Once) algorithm for autonomous driving - car detection. A pre-trained model is used since YOLO requires a lot of data and takes a lot of time to train. The data is provided by drive.ai. ...learn more

Project status: Published/In Market

Artificial Intelligence

Groups
Student Developers for AI, DeepLearning

Code Samples [1]

Overview / Usage

The project uses YOLO(you look only once algorithm) to detect objects while driving a car.

Methodology / Approach

In this approach, we divide the image in a number of grid cells. Then I feed the input image into the convolutional neural network and it outputs the exact bounding box of the object.
A convolutional implementation is done for each grid cell instead of doing it separately for every grid. Anchor boxes are also used in order to identify objects of different sizes.

Technologies Used

Python, Tensorflow, Keras, Ipython

Repository

https://bitbucket.org/tanuj1121999/yolo_algorithm_car_detection

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