YFCC100M

doi:doi:10.57702/enrhwy6s

YFCC100M

The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.

BibTex:

@dataset{Bart_Thomee_and_David_A_Shamma_and_Gerald_Friedland_and_Benjamin_Elizalde_and_Karl_Ni_and_Douglas_Poland_and_Damian_Borth_and_Li-Jia_Li_2024,
    abstract = {The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.},
    author = {Bart Thomee and David A Shamma and Gerald Friedland and Benjamin Elizalde and Karl Ni and Douglas Poland and Damian Borth and Li-Jia Li},
    doi = {10.57702/enrhwy6s},
    institution = {No Organization},
    keyword = {'Dataset', 'Foreground Patch Extraction', 'Image Analysis', 'Image Classification', 'Image Deblurring', 'Image Denoising', 'Image-to-Image Translation', 'Multimedia', 'Object Detection', 'Object Recognition', 'Video', 'Video Analysis', 'YFCC100M', 'computer vision', 'dataset', 'geolocation', 'image captioning', 'image classification', 'image dataset', 'image retrieval', 'image search', 'large dataset', 'large-scale dataset', 'metadata', 'multimedia', 'scene understanding', 'visual search'},
    month = {dec},
    publisher = {TIB},
    title = {YFCC100M},
    url = {https://service.tib.eu/ldmservice/dataset/yfcc100m},
    year = {2024}
}