Skip to content
#

xceptionnet

Here are 4 public repositories matching this topic...

Language: All
Filter by language

The dataset has a collection of about 15000+ labeled images belonging to 67 categories. I am selecting only below 10 categories ⚰ airport_inside, auditorium, bakery, bathroom, bookstore, casino, church_inside, grocerystore, operating_room, warehouse Objective is to create a model that will able to classify images into these 10 categories.

  • Updated Jan 21, 2022
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the xceptionnet topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the xceptionnet topic, visit your repo's landing page and select "manage topics."

Learn more