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Databases

This page contains some of the generated and collected image datasets which are referred in the literature. Negargari painting style dataset and Persian Road Surface Marking (PRSM) dataset are available in this page. Using datasets for non-commercial aims is free. Any question and comments about the datasets are welcome.

  • Persian Road Surface Marking (PRSM) Dataset:
    The dataset consists of over 6800 labeled images of Persian road surface markings in 18 popular classes.  It also contains road surface markings under various daylight conditions such as sunny, sunset and night time. Furthermore, this dataset contains images of marking signs in three different qualities, excellent, fair and poor. The poor images have serious occlusion, motion blur or are depreciated.

    If you use this dataset, you are kindly requested to cite the following paper: paper:

    • Seyed Hamid Safavi, Mohammad Eslami, Aliasghar Sharifi Najafabadi, Amirhosein Hajihoseini, Mohammadreza Riahi, Maryam Rekabi, Sadaf Sarafan, Rahman Zarnoosheh, Ehsan Khodapanah Aghdam, Sahar Barzegari Banadkoki, Seyed Mohammad Seyedin Navadeh, Farah Torkamani-Azar, "Image Dataset for Persian Road Surface Markings",  10th Iranian Conference on Machine Vision and Image Processing (MVIP), Accepted for Publication, 2017.

     Please clik on the following picture to download the dataset:

 

 

 

 

 

 

  • Negargari painting style dataset:
    This imageset contains two styles of Paintings. Persian Miniature style which is also called Negargari has a unique and distinct features in comparison with western or eastern painting styles. In this dataset, Negargari is mentioned in two categories: Modern Negargari and old Negargari which have so significant differences from each other.Following picture shows both Old and Modern Painting styles. The dataset can be downloaded by clicking on the picture and the dataset includes includes 164 modern and 154 old Negargari images.In order to mention the dataset please refer to the paper:
    • S. Tabarestani, M. Eslami, and F. Torkamani-Azar, “Painting Style Classification in Persian Miniatures”, 9th Iranian Conference on Machine Vision and Image Processing, (MVIP), 2015, pp. 209-213.

            Please clik on the following picture to download the dataset: