Project Page

Online demo for the paper [1] on haze level estimation from single images.

Haze Level Estimation Dataset

The dataset contains 3024 images with 673MB in total. To decompress the dataset, using tar xfa haze-level.tgz.

Google Drive Link and Baidu Pan Link (password: r5in)

The README:

Dataset:  image-haze-level-v1_0

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Image based haze level estimation dataset, version 1.0

The image hazel level dataset contains 3024 synthetic images and their haze
level labels. The images are based on the algorithms and dataset provided by the
FRIDA dataset. The dataset shall be used to evaluate image based haze level
estimation techniques.

If you end up using the dataset, we ask you to cite the following paper:

Yuncheng Li, Jifei Huang, Jiebo Luo. "Using User Generated Online Photos to
Estimate and Monitor Air Pollution in Major Cities." International Conference on
Internet Multimedia Computing and Service. ICIMCS 2015.

If you have any question regarding the dataset, please contact:

    Yuncheng Li: yli [at] cs.rochester.edu

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Non-commercial research purposes use only.

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Full description:

This dataset contains two parts,

./images/*.png: the images ./labels.txt: the hazel level labels for the images

The haze levels are: 10 15 20 25 30 35 40 45 50, with increasing haze level.

Last edit: Feb 28, 2016

Haze Level Estimation Demo

Upload your image or provide an image URL

The score denotes the haze level. Lower score means heavrier estimated haze level. A score lower than 0.45 means severe air pollution.



your image

Reference

[1] Yuncheng Li, Jifei Huang, Jiebo Luo. "Using User Generated Online Photos to Estimate and Monitor Air Pollution in Major Cities." International Conference on Internet Multimedia Computing and Service. ICIMCS 2015. [arxiv] [Demo & Dataset]

More Examples (screenshot)

Haze level Estimation examples