This python code is used to recognize Pepsi company logos in a given image.
It is trained on Flickr Logos 27 dataset
The code is developed for python 2.7 using a jupyter notebook
All dependencies are mentioned in Requirements.txt
A gif showing single Pepsi bottle
A gif showing multiple brand bottles
I've used Convolution Neural Network for the classification.
The model detects Pepsi logo with an accuracy of ~99%.
It uses Sliding window algorithm(as show above) to detect logo in different parts of the image
To run the prediction on a new image just run the following command
python evaluate.py --image image_path