https://github.com/rohankumawat/fashionmnist

Repository of FashionMNIST dataset.
https://github.com/rohankumawat/fashionmnist

docker fashion-mnist jenkins mlops python rhel8

Last synced: about 2 months ago
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Repository of FashionMNIST dataset.

• Host: GitHub
• URL: https://github.com/rohankumawat/fashionmnist
• Owner: rohankumawat
• Created: 2020-05-31T04:24:01.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-06-02T13:25:04.000Z (almost 5 years ago)
• Last Synced: 2025-01-17T08:30:57.150Z (3 months ago)
• Topics: docker, fashion-mnist, jenkins, mlops, python, rhel8
• Language: Python
• Homepage: https://spark.adobe.com/page/C26U76wA0U0kW/
• Size: 14.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
**Fashion-MNIST** is a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples. 

Each example is a 28x28 grayscale image, associated with a label from 10 classes.

![Fashion MNIST dataset image](https://raw.githubusercontent.com/zalandoresearch/fashion-mnist/master/doc/img/fashion-mnist-sprite.png)

**Labels**

Each training and test example is assigned to one of the following labels:

| Labels        | Description           | 

| ------------- |:-------------:|

| 0      | T-shirt/Top |

| 1      | Trouser     |

| 2      | Pullover    |

| 3      | Dress       |

| 4      | Coat        |

| 5      | Sandal      |

| 6      | Shirt       |

| 7      | Sneaker     |

| 8      | Bag         |

| 9      | Ankle Boot  |

* FashionMNIST.py is the file that I've used to create my model.

* Achieved accuracy with more than 95%.

* Click [here](https://www.linkedin.com/posts/rohan-kumawat-9027bb177_machinelearning-datascience-devops-activity-6673569529018368000-Jk5V) to have a look on how I got more than 95% accuracy.