YFCC100M: The New Data in Multimedia Research

YFCC100M: The New Data in Multimedia Research

FEBRUARY 2016 | VOL. 59 | NO. 2 | BART THOMEE, DAVID A. SHAMMA, GERALD FRIEDLAND, BENJAMIN ELIZALDE, KARL NI, DOUGLAS POLAND, DAMIAN BORTH, AND LI-JIA LI
The article introduces the YFCC100M dataset, a publicly available multimedia collection of 100 million photos and videos, which is the largest and most comprehensive dataset of its kind. Curated by a team of researchers, the dataset is designed to address the need for large-scale, diverse, and legally accessible multimedia data for scientific research, engineering, and development. The dataset includes a rich set of metadata, such as camera information, geotags, and user annotations, and is released under a Creative Commons license to ensure data equality and reproducibility. The authors highlight the dataset's strengths, including its comprehensive coverage, multimodal nature, and legal accessibility, while also acknowledging its limitations, such as the lack of detailed annotations. The YFCC100M dataset is expected to facilitate advancements in fields like computer vision, spatiotemporal computing, and digital culture preservation, and the authors provide guidelines for its responsible use and future expansion.The article introduces the YFCC100M dataset, a publicly available multimedia collection of 100 million photos and videos, which is the largest and most comprehensive dataset of its kind. Curated by a team of researchers, the dataset is designed to address the need for large-scale, diverse, and legally accessible multimedia data for scientific research, engineering, and development. The dataset includes a rich set of metadata, such as camera information, geotags, and user annotations, and is released under a Creative Commons license to ensure data equality and reproducibility. The authors highlight the dataset's strengths, including its comprehensive coverage, multimodal nature, and legal accessibility, while also acknowledging its limitations, such as the lack of detailed annotations. The YFCC100M dataset is expected to facilitate advancements in fields like computer vision, spatiotemporal computing, and digital culture preservation, and the authors provide guidelines for its responsible use and future expansion.
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