Color 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 color palette, and the goal is to find images whose dominant colors match the palette. You will build a neural network that learns a similarity metric between natural images and color palettes represented as images, allowing you to retrieve images that match a given set of colors.
Difficulty |
Suggested Tutorials |
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Easy |
