<- Back to Datasets

Multi-Purpose Image Deraining (MPID)

A large-scale benchmark of both synthetic and real-world rainy images

Multi-Purpose Image Deraining (MPID)

We present a comprehensive study and evaluation of existing single image deraining algorithms, using a new large-scale benchmark consisting of both synthetic and real-world rainy images.This dataset highlights diverse data sources and image contents, and is divided into three subsets (rain streak, rain drop, rain and mist), each serving different training or evaluation purposes. We further provide a rich variety of criteria for dehazing algorithm evaluation, ranging from full-reference metrics, to no-reference metrics, to subjective evaluation and the novel task-driven evaluation.

View this Dataset
->
University of California, Berkeley
https://www.berkeley.edu
Task
Object Detection
Annotation Types
Bounding Boxes
Items
Classes
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
Label your own datasets on V7
Try our trial or talk to one of our experts.