Apparel-Classifier

Apparel Classifier is a neural network model that classifies grayscale images of size (28X28)pixels and provides which category of clothing like shirts, T-shirts, Handbags e.tc. This model uses fasion dataset collected from various sources containing images of clothing('Footwear', 'Handbags', 'Shirts', 'T-shirts'). Te dataset has a total o 10,714 images in total

Development of dataset

Train images - 7400

Test images - 3314

First the images were converted to grayscale which has pixel values ranging form 0-256 then the grayscale images are pixelized to 28x28 pixels.

After pixelizing the images are compressed to .npz which stores the pixel values in 2-D array(test and train images)

These .npz files are later made to .csv and labelled accordingly to which category they belong('Footwear', 'Handbags', 'Shirts', 'T-shirts'). This categorical data is labelencoded using labelencoder from sklearn and those lables are extracted from the .csv file

So this model dataszet consists of 4 datset files

1. Train images.npz

2. Train labels.npz

3. Test images.npz

4. Test labels.npz

Creating the model

With the help of TensorFlow framework and keras library sequential model is created to create layers, adding optimizers, activation functions, training, testing, etc.,

model = keras.Sequential(
  [
   Flatten(input_shape=(28, 28)),
   # Flatten 28, 28 into single layer having 784 neurons
   Dense(15, activation='relu', name='layer1'),
   #Dense(4, activation='relu', name='layer2'),
   Dense(4) # output layer having exact number neurons as target outputs
  ]
)

train_images and train_labels are feeded to the model for training and test_images and test_labels are used to test and make predictions

history = model.fit(train_images, train_labels, epochs=10)

The train accuracy of the model is around 89%

The loss for the model is 0.2698

Testing the model

test_loss, test_acc = model.evaluate(test_images, test_labels, verbose=2)
print('\nTest accuracy:', test_acc)

The test accuracy of the model is around 85%

Predicting the model

Among all the categories of clothis this model is able to predict Footwear, Handbags, T-shirts accurately