/LogoNet

Brand Logo Detection model w/ API and Batch Processing.

Primary LanguageJupyter NotebookMIT LicenseMIT

LogoNet

Logonet is a convolutional neural network model to detect brand logo in the given input image.

it can detect the following brand logo's: (updated - 21/10/2018)

['ups','dhl','fedex','aldi','cocacola','mcdonalds']

Example usage:

example1

Example(API):

cd logonet_app

python ln_main_app.py

example2

Credits:

Scalable Logo Recognition in Real-World Images Stefan Romberg, Lluis Garcia Pueyo, Rainer Lienhart, Roelof van Zwol ACM International Conference on Multimedia Retrieval 2011 (ICMR11), Trento, April 2011. Also Technical Report, University of Augsburg, Institute of Computer Science, March 2011 Flickr-47(and 32) Dataset

Y. Kalantidis, LG. Pueyo, M. Trevisiol, R. van Zwol, Y. Avrithis. Scalable Triangulation-based Logo Recognition. In Proceedings of ACM International Conference on Multimedia Retrieval (ICMR 2011), Trento, Italy, April 2011. Flickr-27 Dataset