https://github.com/sayakpaul/intel-scene-classification-challenge

Contains my experiments for Intel's Scene Classification challenge
https://github.com/sayakpaul/intel-scene-classification-challenge

computer-vision deep-learning fastai intel resnet-101 resnet50

Last synced: over 1 year ago
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Contains my experiments for Intel's Scene Classification challenge

• Host: GitHub
• URL: https://github.com/sayakpaul/intel-scene-classification-challenge
• Owner: sayakpaul
• Created: 2019-05-10T03:43:57.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-05-12T16:48:36.000Z (about 7 years ago)
• Last Synced: 2025-02-08T09:11:13.122Z (over 1 year ago)
• Topics: computer-vision, deep-learning, fastai, intel, resnet-101, resnet50
• Language: Jupyter Notebook
• Size: 5.71 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Intel-Scene-Classification-challenge

[![Run on FloydHub](https://static.floydhub.com/button/button-small.svg)](https://floydhub.com/run)

This project is based on the [Intel Scene Classification Challenge](https://datahack.analyticsvidhya.com/contest/practice-problem-intel-scene-classification-challe/) which was released by [Analytics Vidhya](https://www.analyticsvidhya.com/) in collaboration with Intel. 

The dataset consists of the following types of images (of 150x150 dimensions) which are nothing but natural scenes:

![](https://i.ibb.co/CmzPCQt/Screenshot-from-2019-05-12-16-14-56.png)

The categories particularly were given as:

- Buildings

- Forest

- Glacier

- Mountain

- Sea

- Street

The task is to classify images with respect to the above categories. 

Here's the accompanying Kaggle Kernel: https://www.kaggle.com/spsayakpaul/intel-scene-classification-challenge/