Closed nathanWynn closed 3 years ago
There are 39 pre-extracted features in the CSV files, which are used for training neural networks for the classification task. The last column is the label for each detected face, either 1 or 0. Therefore, this is a binary classification problem. There are over 40 GB images in the GCP bucket which are used for feature extraction. The training list contains over 654,000 images.
Need to familiarize ourselves with the provided dataset. Might be useful to write a "hello world" python file to interface with the GS bucket and poke around.