Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

Understand

Shadow detection in general photos is a nontrivial problem, due to the complexity of the real world.

• Though recent shadow detectors have already achieved remarkable performance on various benchmark data, their performance is still limited for general real-world situations.
• In this work, we collected shadow images for multiple scenarios and compiled a new dataset of 10,500 shadow images, each with labeled ground-truth mask, for supporting shadow detection in the complex world.
• Our dataset covers a rich variety of scene categories, with diverse shadow sizes, locations, contrasts, and types.