Fashion Entity Classification

Related tags

Deep Learning deep-neural-networks deep-learning convolutional-neural-networks fashion-mnist colab-notebook fashion-mnist-dataset fashion-classification
Overview

Fashion-Entity-Classification



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. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.



Labels

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

0 T-shirt/top
1 Trouser
2 Pullover
3 Dress
4 Coat
5 Sandal
6 Shirt
7 Sneaker
8 Bag
9 Ankle boot

Each row is a separate image
Column 1 is the class label.
Remaining columns are pixel numbers (784 total).
Each value is the darkness of the pixel (1 to 255)

Results

image

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Owner
ADITYA SHAH
#IndianByHeart #MechatronicsEnthusiast #NatureLover #Wanderer
ADITYA SHAH
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