The YFCC100M dataset is a publicly available collection of nearly 100 million photos and videos, free and legally usable for all. Created in 2014 as part of the Yahoo Webscope program, it is the largest public multimedia collection ever released, containing 99.2 million photos and 0.8 million videos uploaded to Flickr between 2004 and 2014, published under a Creative Commons license. The dataset is distributed as a 12.5GB compressed archive with metadata, and includes features like tags, timestamps, locations, and camera information. It also includes a rich set of visual and aural features extracted from the data, ensuring long-term accessibility. The dataset is designed to be comprehensive, representative of real-world photography, and expandable in coverage. It is free and legal to use, and aims to consolidate and supplant many existing datasets. The YFCC100M dataset provides a valuable resource for researchers, engineers, and scientists in various fields, including computer vision, social computing, and artificial intelligence. It includes a diverse collection of complex real-world scenes, ranging from street-life-blogged photos to snapshots of daily life, holidays, and events. The dataset also includes a wide range of visual concepts, such as people, animals, objects, food, events, architecture, and scenery, which have been detected using a deep-learning approach. The dataset has been used to create various challenges and benchmarks, such as the MediaEval Placing Task, which involves estimating the geographic location where a photo or video was taken. It has also been used to develop the YLI-MED corpus, which consists of 50,000 handpicked videos from the YFCC100M that belong to events similar to those defined in the TRECVID MED challenge. The dataset has also been used to support research in multimedia event detection and to establish a research community around annotating all 100 million photos and videos in the YFCC100M. The YFCC100M dataset has several strengths, including its large volume, multimodal nature, and rich metadata. However, it also has limitations, such as the lack of annotations and the need for further expansion and annotation. The dataset is intended to be used in a principled manner to ensure reproducibility and compatibility with existing and future work. The dataset is also intended to be used in a way that complies with licensing, attribution, and copyright requirements. The YFCC100M dataset is a valuable resource for researchers, engineers, and scientists in various fields, and its release represents an opportunity to advance research and address existing challenges.The YFCC100M dataset is a publicly available collection of nearly 100 million photos and videos, free and legally usable for all. Created in 2014 as part of the Yahoo Webscope program, it is the largest public multimedia collection ever released, containing 99.2 million photos and 0.8 million videos uploaded to Flickr between 2004 and 2014, published under a Creative Commons license. The dataset is distributed as a 12.5GB compressed archive with metadata, and includes features like tags, timestamps, locations, and camera information. It also includes a rich set of visual and aural features extracted from the data, ensuring long-term accessibility. The dataset is designed to be comprehensive, representative of real-world photography, and expandable in coverage. It is free and legal to use, and aims to consolidate and supplant many existing datasets. The YFCC100M dataset provides a valuable resource for researchers, engineers, and scientists in various fields, including computer vision, social computing, and artificial intelligence. It includes a diverse collection of complex real-world scenes, ranging from street-life-blogged photos to snapshots of daily life, holidays, and events. The dataset also includes a wide range of visual concepts, such as people, animals, objects, food, events, architecture, and scenery, which have been detected using a deep-learning approach. The dataset has been used to create various challenges and benchmarks, such as the MediaEval Placing Task, which involves estimating the geographic location where a photo or video was taken. It has also been used to develop the YLI-MED corpus, which consists of 50,000 handpicked videos from the YFCC100M that belong to events similar to those defined in the TRECVID MED challenge. The dataset has also been used to support research in multimedia event detection and to establish a research community around annotating all 100 million photos and videos in the YFCC100M. The YFCC100M dataset has several strengths, including its large volume, multimodal nature, and rich metadata. However, it also has limitations, such as the lack of annotations and the need for further expansion and annotation. The dataset is intended to be used in a principled manner to ensure reproducibility and compatibility with existing and future work. The dataset is also intended to be used in a way that complies with licensing, attribution, and copyright requirements. The YFCC100M dataset is a valuable resource for researchers, engineers, and scientists in various fields, and its release represents an opportunity to advance research and address existing challenges.