Training a Convolutional Neural Network for Multi-label Image Classification

Infer multiple labels for an image using a CNN

Dependencies

1. python 3.5.2
2. tensorflow 1.4.1
3. cadl

Dataset

• RGB JPG images, 256x256 pixels, split into training and test folders

• CSV file with rows of image_names and labels for the training set:

  image_name	tags
  train_0	haze primary
  train_1	agriculture clear primary water
  train_2	clear primary

• CSV file with rows of image_names for test set

Training

Execute training, validation, and generate labels for test set:

python multilabel_cnn.py