Giter Site home page Giter Site logo

kenanekici / multilabel-class-pascalvoc Goto Github PK

View Code? Open in Web Editor NEW
5.0 5.0 1.0 4.35 MB

Building a multi-label classifier from scratch and using transfer learning for the PASCAL VOC image dataset.

License: Apache License 2.0

Jupyter Notebook 100.00%
cam class-activation-maps classifier dataset deep-learning explainable-ai keras machine-learning multi-label-classifier pascal-voc perturbations python transfer-learning

multilabel-class-pascalvoc's People

Contributors

kenanekici avatar

Stargazers

avatar avatar avatar avatar avatar

Watchers

avatar avatar

Forkers

simiaolin

multilabel-class-pascalvoc's Issues

Dataset

Unable to fetch dataset. Please provide dataset.
I have downloaded the dataset from Pasacal Voc website but In order to run this notebook I need this organized version of dataset
Thank you :)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.