Sketch Image Retrieval

Image retrieval is the process of finding images relevant to a given query. Traditionally, this is done using metadata such as tags or descriptions. A more advanced approach is to retrieve images based on their visual content, allowing searches to be driven by characteristics like color, texture, and shape.

In this project, you will develop a content-based image retrieval system with PyTorch. You will focus on the case where the query is a hand-drawn sketch, and the goal is to find photos that match the category of the object depicted in the sketch. You will build a neural network that learns a similarity metric between sketches and photos, allowing the system to retrieve images from a photo gallery based on how well they visually correspond to the query sketch.

Difficulty	Suggested Tutorials
Moderate	Convolutional Networks, Feature Extraction, Weak Supervision

Source: The sketchy database - Learning to retrieve badly drawn bunnies