SYNTOLOGY HomeExplorerAtlasCodeMethodologyAboutDevelopersFeedPricing
Paper · 1503.01817 · 2015

YFCC100M: The New Data in Multimedia Research

arXiv · PDF · Open in the Atlas

Code that ran

We lifted 4 functions out of this paper's own repositories and ran 1 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.

RepositoryRoleRan
cesc-park/attend2u pwc_unofficial 1 of 4
FunctionStatusWhere it lives
my_lcs Ran cesc-park/attend2u/utils/pycocoevalcap/rouge/rouge.py
code served (permissive licence) · get_code("d6f215d655a876ee")
cook_refs Not yet run cesc-park/attend2u/utils/pycocoevalcap/cider/cider_scorer.py
code served (permissive licence) · get_code("5172aba957a32d9e")
cook_test Not yet run cesc-park/attend2u/utils/pycocoevalcap/cider/cider_scorer.py
code served (permissive licence) · get_code("90a4bcbf05586ff3")
precook Not yet run cesc-park/attend2u/utils/pycocoevalcap/cider/cider_scorer.py
code served (permissive licence) · get_code("422c41f5b22cf9c3")

Repositories linked to this paper

Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.

Abstract

We present the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), the largest public multimedia collection that has ever been released. The dataset contains a total of 100 million media objects, of which approximately 99.2 million are photos and 0.8 million are videos, all of which carry a Creative Commons license. Each media object in the dataset is represented by several pieces of metadata, e.g. Flickr identifier, owner name, camera, title, tags, geo, media source. The collection provides a comprehensive snapshot of how photos and videos were taken, described, and shared over the years, from the inception of Flickr in 2004 until early 2014. In this article we explain the rationale behind its creation, as well as the implications the dataset has for science, research, engineering, and development. We further present several new challenges in multimedia research that can now be expanded upon with our dataset.

For agents

The same record, over MCP at https://syntology.ai/mcp:

get_harvested_code_for_paper("1503.01817")
get_code_for_paper("1503.01817")
have("1503.01817")

Connect an agent — have() is free.