RESIDE stands for REalistic Single Image DEhazing, which is a large-scale benchmark that includes both synthetic and realistic blurred images. The dataset highlights different data sources and image contents and is divided into 5 subsets, each of which serves different training or evaluation purposes.

The 5 subsets are:

1. Indoor Training Set (ITS)
2. Outdoor Training Set (OTS)
3. Synthetic Objective Test Set (SOTS)
4. Real-world Task-driven Test Set (RTTS)
5. Hybrid Subjective Test Set (HSTS)
   

ITS, OTS, and SOTS are synthetic datasets, RTTS is a real-world dataset, and HSTS consists of synthetic and real blurry images.