ColorNet: Investigating the importance of color spaces for image classification

Understand

Image classification is a fundamental application in computer vision.

• Recently, deeper networks and highly connected networks have shown state of the art performance for image classification tasks.
• Most datasets these days consist of a finite number of color images.
• These color images are taken as input in the form of RGB images and classification is done without modifying them.