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Waste-Image-Classification-Using-CNN

Kaggle Python 3.6 TensorFlow

Problem statement:

Implement an algorithm to classify whether the image is recycle or organic type.

Dataset:

The total number of images available for training the model is 22,564 and 2513 images for testing.
_• Dataset Link: https://www.kaggle.com/techsash/waste-classification-data

Dependencies:

  • Keras
  • Tensorflow - 2.2.0
  • Python - 3.6
  • Scikit-Learn
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn

Data Augmentation

Using some Data Augmentation techniques for more data and Better results.

  • Random zoom
  • Horizontal flips
  • Vertical flips
  • Rotation

Network Parameter:

  • Rectifier Linear Unit (ReLU) - Hidden Layers
  • Sigmoid - Output Layer
  • RMSprop optimizer
  • Loss: Binary CrossEntropy

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