YFCC100M-HNfc6

Falchi F.

Image  Deep learning  Deep features  Features  Flickr  Creative Commons 

YFCC100M-HNfc6 contains deep features extracted from the 100 million images of the Creative Commons Initiative. In particular we took the activation of the neurons in the fc6 layer of the Hybrid-CNN whose model and weights are public available in the Caffe Model Zoo. The Hybrid-CNN was trained on 1,183 categories (205 scene categories from Places Database and 978 object categories from the train data of ILSVRC2012 (ImageNet) with ~3.6 million images. The architecture is the same as Caffe reference network. The Yahoo Flickr Creative Commons 100M (YFCC100M) dataset was created in 2014 as part of the Yahoo Webscope program. The dataset consists of approximately 99.2 million photos and 0.8 million videos, all uploaded to Flickr between 2004 and 2014 and published under a Creative Commons commercial or non commercial license. The deep features have been integrated in the corpus maintained by the Multimedia Commons initiative which is an effort to develop and share sets of computed features and ground-truth annotations for the Yahoo Flickr Creative Commons 100 Million dataset (YFCC100M), which contains around 99.2 million images and nearly 800,000 videos from Flickr, all shared under Creative Commons licenses. We also give Content-Based Image Retrieval results for various approaches and for various subsets of the datasets. While on the web page you can only see 100 results, 10,001 resutls for each query are available for download.