Deep Learning Pipelines builds on Apache Spark’s ML Pipelines for training, and with Spark DataFrames and SQL for deploying models. It mimics the workflow of a professional photographer, roaming landscape panoramas from Google Street View and searching for the best composition, then carrying out various postprocessing operations to create an aesthetically pleasing image.

To explore how ML can learn subjective concepts, we introduce an experimental deep-learning system for artistic content creation.

Labelbox is an amazing web based annotation tool that lets you or your team easily label. You can see a list of off the shelf tools here: List of manual image annotation tools - Wikipedia I have used many in this list, particularly Labelbox (Labelbox: A versatile labeling tool for machine learning).