Yfcc100m

Abstract

The photograph and our understanding of photography is ever changing and has transitioned from a world of unprocessed rolls of C-41 sitting in a fridge 50 years ago to sharing photos on the 1.5" screen of a point and shoot camera 10 years back. And today the photograph is again something different. The way we take photos is fundamentally different. We can view, share, and interact with photos on the device they were taken on. We can edit, tag, or "filter" photos directly on the camera at the same time the photo is being taken. Photos can be automatically pushed to various online sharing services, and the distinction between photos and videos has lessened. Beyond this, and more importantly, there are now lots of them. To Facebook alone more than 250 billion photos have been uploaded and on average it receives over 350 million new photos every day [6], while YouTube reports that 300 hours of video are uploaded every minute [22]. A back of the envelope estimation reports 10% of all photos in the world were taken in the last 12 months, and that was calculated already more than three years ago [8].Today, a large number of the digital media objects that are shared have been uploaded to services like Flickr or Instagram, which along with their metadata and their social ecosystem form a vibrant environment for finding solutions to many research questions at scale. Photos and videos provide a wealth of information about the universe, covering entertainment, travel, personal records, and various other aspects of life in general as it was when they were taken.

Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr

“…Webscope program for use solely under the terms of a signed Yahoo! Data Sharing Agreement [32]. For more details, readers can access this dataset online via https://webscope.sandbox.yahoo.com/catalog.php?datatype=i&did=67.…”

Bag of Tricks for Efficient Text Classification

“…To test scalability of our approach, further evaluation is carried on the YFCC100M dataset (Thomee et al, 2016) which consists of almost 100M images with captions, titles and tags. We focus on predicting the tags according to the title and caption (we do not use the images).…”

Capturing the web at large: a critique of current web referencing practices

“…This corresponds to 3.3% of the total number of passed theses with the faculty. 2 The 35 examined theses have a total of 707 unique references, which contain "www" and/or "http/https". 3 These appeared in the body texts, footnotes, appendices and bibliographies.…”

“…These new opportunities come with a range of challenges. Websites are connected in new and unfamiliar ways, the amount of data easily surpasses what we have experienced previously, and we do not yet have an infrastructure that can lend prober support to the increased scholarly use of web resources [1][2]. This paper is an attempt to grapple with one of the core challenges, namely our ability to provide precise and persistent references to web material.…”