DCNN

Deep Convolutional Neural Networks for Image Classification

Convolutional Neural Networks are like Artificial Neural Networks that have proven very effective in areas such as image recognition and classification. ConvNets have proven to outperform any type of Image Classification Algorithms.

To Train a ConvNets on your own set of images follow the steps below:

Download DCNN.py

Create a folder name dataset

Under dataset create two folders

1. training
2. test

Then, under training, create a folder for each label/class

If you have images of birds and cats Under train create a folder for bird and another folder for cat and put the images into their respective folders.

Repeat the same for test folder

Recommended split 80/20

Run DCNN.py

Tree

• DCNN.py
• dataset
  • training
    • birds

      • ...

    • cats

      • ...

  • test
    • birds

      • ...

    • cats

      • ...

Reference:

Wiki