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Food524DB  最大的公开可用食品数据集

Food524DB 最大的公开可用食品数据集

Scene:

Agriculture,Food

Data Type:

2D Box
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Imaging and Vision Laboratory

主要研究领域包括彩色成像、图像、视频处理、分析和分类;视觉信息系统;机器学习;图像质量;HCI和生物计量学。

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    Food524DB is the largest publicly available food dataset with 524 food classes and 247,636 images by merging food classes from existing datasets in the state of the art.


    This database can be used for food recognition. The database is composed of 247,636 images belonging to 524 food categories. The database has been constructed by merging four benchmark datasets:  VIREO, Food-101, Food50, and a modified version of UECFOOD256.

    If you use this database, please cite the following paper:

    @inproceedings{ciocca2017Learning-CNN,
    author = {Ciocca, Gianluigi and Napoletano, Paolo and 
    Schettini, Raimondo},
    editor="Battiato, Sebastiano and Farinella, Giovanni Maria and Leo, 
    Marco and Gallo, Giovanni",
    title="Learning CNN-based Features for Retrieval of Food Images",
    bookTitle="New Trends in Image Analysis and Processing -- ICIAP 2017: 
    ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, 
    IWBAAS, and MADiMa 2017, Catania, Italy, September 11-15, 2017,
    Revised Selected Papers",
    year="2017",
    publisher="Springer International Publishing",
    pages="426--434",
    isbn="978-3-319-70742-6",
    doi="10.1007/978-3-319-70742-6_41"}


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