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Flickr network dataset

Flickr image relationships Dataset information. This dataset is built by forming links between images sharing common metadata from Flickr. Edges are formed between images from the same location, submitted to the same gallery, group, or set, images sharing common tags, images taken by friends, etc Download network data. This network dataset is in the category of Social Networks. soc-flickr-und .ZIP. .7z. Visualize soc-flickr-und's link structure and discover valuable insights using the interactive network data visualization and analytics platform. Compare with hundreds of other network data sets across many different categories and domains The Flickr30k dataset has become a standard benchmark for sentence-based image description. This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k with 244k coreference chains, linking mentions of the same entities across different captions for the same image, and associating them with 276k manually annotated bounding boxes The Flickr1024 dataset is available for non-commercial use only. Therefore, You agree NOT to reproduce, duplicate, copy, sell, trade, or resell any portion of the images and any portion of derived data. All images on the Flickr1024 dataset are obtained from Flickr and they are not the property of our laboratory The Flickr8k_text contains the text information, and the following are used in this experiment. Flickr8k.token.txt the raw captions of the Flickr8k Dataset . The first column is the ID of the.

Stanford Large Network Dataset Collection. Social networks : online social networks, edges represent interactions between people. Networks with ground-truth communities : ground-truth network communities in social and information networks. Communication networks : email communication networks with edges representing communication Data: Flickr Users (3.9MB) LiveJournal Users (11.2MB) Orkut Users (6.5MB) YouTube Users (2.4MB) • List of links These files contain a list of all of the user-to-user links which are included in our crawls. All links are treated as directed, even in the case of undirected networks like Orkut. Format: Gzipped ASCII Visualization of 1 million out of 48 million geotagged photos from the Yahoo Labs Flickr dataset. Credit David Shamma. For any network topology research, why not give the Social Computing Research @ MPI-SWS datasets a shot? They have been used successfully before for exactly that purpose. The Yelp Dataset Challenge, a social review dataset. Network datasets collected from famous websites including BlogCatalog, Buzznet, Delicious, Digg, Douban, Flickr, Flixster, Last.fm, Twitter, YouTube and so on. Some datasets contain both the contact network and selected group membership information. (Most datasets contain around 100k nodes.

SNAP: Network datasets: Flickr image relationship

In some datasets, such as WebKB, Cora, CiteSeer, and PubMed, nodes has text attributes which is represented as a 0/1 vector or TF-IDF representation. The network is represented as edge list stored in edges.csv. The frist element is source node and the second element is target node. Elements are seperated by , Flickr: A network data set crawled from Flickr. Both the contact network and selected group membership information are included. Flickr: 80513: 5899882: 2010-08-30 01:45:32: 9: Flixster: Flixster is a social movie site allowing users to share movie ratings, discover new movies and meet others with similar movie taste. Flixster: 2523386: 9197338.

The Decoder is a Recurrent Neural Network(RNN) which does language modelling up to the word level. The first time step receives the encoded output from the encoder and also the vector. Dataset used was Flickr8k dataset Flickr Cropping Dataset Quantitative Analysis of Automatic Image Cropping Algorithms - A data set and comparative study. View on GitHub Brief Introduction. Automatic photo cropping is an important tool for improving visual quality of digital photos without resorting to tedious manual selection. Traditionally, photo cropping is accomplished by. Crawl of the Flickr photo-sharing social network from May 2006 returning a graph with 820,878 nodes and 9,837,214 edges. Dataset is distributed as a SMAT file with README file with code to read file in Python and MATLAB The water lilies (Nymphaea) are a genus of flowering plants in the family Nymphaeaceae (Nymphaeaceae). A zoomed in view of the Lower Falls of the Yellowstone taken from Artist's Point. It's song is memorably thunderous, powerful and enthralling. At 308 feet, the Lower Falls is the tallest waterfall in the park

flickr-und Social Networks Network Data Repositor

This is my final project for CPSC 8480 Network Science, which uses Flickr dataset to do clustering and community-based recommendation.. Problem. The connections in the social network are not uniformly distributed, which means that the network can be divided into several communities and there are dense connections in the same community but sparse connections between different communities This dataset is a synthetic dataset created using Generative Adversarial Network (GAN) on the Flickr-Faces-HQ Dataset [2]. The MaskedFace-Net model created synthetic images of people wearing the mask correctly and incorrectly. For our project we also wanted to identify whether the person was wearing a mask or not. So we added the original. Flickr 30k Dataset. The Flickr 30k dataset has over 30,000 images, and each image has different captions. This dataset is useful in building image caption generators. And this dataset is an upgraded version of Flickr 8k used to create more accurate models. a. Data Link: Flickr image dataset Help us: If you have a dynamic network dataset, email us at dnd (at) csail.mit.edu with a brief description about the data, its format, its license, and how/where to download it. We will link to it with appropriate credit/citation. If you have interesting visualizations and/or analysis of these data sets, email us at dnd (at) csail.mit.edu and we will post it with appropriate credit/citation 5. Experiments5.1. Dataset. In order to evaluate the advantages of our algorithm fairly, three representative real-world network datasets {(BlogCatalog, Flickr), 1 Cora 2}are used in this work, which are all made up of users and social relationships from specific domains and scenarios.They are publicly available and have been widely used in previous work (Huang, Li, Hu, 2017, Perozzi, Al-Rfou.

The benchmark for this problem, introduced by Eran Eidin g er et al. [8], uses the Adience dataset which is composed of images scraped from Flickr.com albums that were labeled for age and gender. The first dataset is composed of a Twitter network and a Flickr network. The second dataset is a synthetic dataset including two co-author networks in Data Mining area and Wide World Web area. Comparative methods. In this subsection, to evaluate the performance of LHNE for user identity linkage, we choose the following state-of-the-art methods. Furthermore, in the Haiti case study, OSM data was even the only up-to-date source of road network data available for the affected region. Conclusions. This document gave an introduction to two freely available street network datasets, described their data retrieval process, and pointed out some of their differences The dataset, we believe, is one of the largest public multimedia datasets that has ever been released—99.3 million images and 0.7 million videos, all from Flickr and all under Creative Commons licensing. The dataset (about 12GB) consists of a photo_id, a jpeg url or video url, and some corresponding metadata such as the title, description.

(PDF) Localizing Visual Sounds the Hard Way

Using Social-Network Metadata for Image Classi cation 3 In the following sections, we study the extent to which categorical predictions about images can be made using social-network metadata. We rst describe how we augment four popular datasets with a variety of metadata from Flickr. We then consider three image labeling tasks network growth data from Flickr, a popular online social network. We crawled Flickr once per day for a period of three months, and we have observed 950,143 new users join and over 9.7 million links being formed. Our data covers a 58% growth in Flickr user population, and we make our dataset available to the research community Crawl of the Flickr photo-sharing social network from May 2006 returning a graph with 820,878 nodes and 9,837,214 edges. Dataset is distributed as a SMAT file with README file with code to read file in Python and MATLAB NETWORK SCIENCE Final Project Proposal Guoxi Liu 1 Dataset The dataset we are going to use in the nal project is the Flickr dataset. Flickr is an image hosting and video hosting website, web services suites, and online community. The dataset contains two parts: users and groups. If there is an edge between two users, it means tha 3.1 Flickr datasets We use existing Flickr social network data [9,10] for analy-sis. The dataset contains daily snapshots of the large weakly connected component (WCC) of the Flickr social network, which covers approximately 25% of the entire Flickr user population (the remaining users were not connected to the large WCC)

1. Dataset TU-Berlin Sketch (training): 20,000 sketches of 250 categories obtained from Amazon Mechanical Turk (). Flickr25K (training): 25,000 images of the same 250 categories, resized to max dimension of 256 pixels, crawled from Flickr, Google and Bing (1.8G) ().Alternatively, a pre-processed package containing image edgemaps and skeletonised sketches both in lmdb format can be downloaded. SNAP Flickr Data Set. This dataset of 105,938 nodes and 2,316,948 edges is built by forming links between images sharing common metadata from Flickr. Edges are formed between images from the same location, submitted to the same gallery, group, or set, images sharing common tags, images taken by friends, etc Dataset Search. Try coronavirus covid-19 or education outcomes site:data.gov. Learn more about Dataset Search. ‫العربية‬. ‪Deutsch‬. ‪English‬

Flickr Image dataset Kaggl

KONECT is a project to collect large network datasets to support research in the area of network mining. KONECT has over 100 datasets from sources such as arXiv, Amazon, Digg, DBLP, Enron, Flickr, Twitter, and Youtuve. KONECT also provides code to generate network datasets from the Web The dataset may be used by researchers to validate claims on social networking theory and corroborate their assumptions/analysis against a real time social network graph consisting of a small subset of Yahoo! Messenger users. The total size for this dataset is 32 MB. Dataset has been added to your car Camera Network Tracking Dataset (CamNeT) CamNeT is a non-overlapping camera network dataset that is designed for tracking. The dataset is composed of five to eight cameras covering both indoor and outdoor scenes at University of California, Riverside. This dataset consists of six scenarios

Particularly, Flickr groups, self-organized communities with declared, common interests, are able to help users to conveniently participate in social media network. In this paper, we address the problem of automatically recommending groups to users. We propose to simultaneously exploit media contents and link structures between users and groups Finally, we fine-tune the new network with the Flickr dataset. The whole process is called as learning without forgetting, which means when our modified network is learning from the Flickr dataset, it won't forget the knowledge it learned from the Google dataset which is cleaner and has a better performance than train using the mixture of both.

The dataset contains background traffic and a malware DDoS attack traffic that utilizes a number of compromised local hosts (within 172.28../16 network). These hosts were used to launch a malware DDoS attack on a non local target. The victim with the IP address 152.162.178.254 was targeted on the TCP destination port 499. READM the neural network to learn the essential features of the object of interest. We explore the importance of these pa-rameters, showing that it is possible to produce a network with compelling performance using only non-artistically- tograph, both taken from the Flickr 8K [12] dataset

Our dataset FDAI Footnote 1 (Flickr Dataset with Auxiliary Information) is crawled from Flickr using its API, Footnote 2 and construct the heterogeneous information network from Wikipedia. Footnote 3 To obtain this dataset, we first select 500 popular groups in Flickr on different themes including city, animal, landscape and so on from keyword. MegaFace was a publicly available dataset which is used for evaluating the performance of face recognition algorithms with up to a million distractors (i.e., up to a million people who are not in the test set). MegaFace contains 1M images from 690K individuals with unconstrained pose, expression, lighting, and exposure. MegaFace captures many different subjects rather than many images of a. There are two primary paradigms for the discovery of digital content. First is the search paradigm, in which the user is actively looking for specific content using search terms and filters (e.g., Google web search, Flickr image search, Yelp restaurant search, etc.).Second is a passive approach, in which the user browses content presented to them (e.g., NYTimes news, Flickr Explore, and.

Flickr1024: A Large-Scale Dataset for Stereo Image Super

These datasets are applied for machine-learning research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets Videos from Videos1 are part of the Yahoo Flickr Creative Commons Dataset. Videos from Videos2 are downloaded by querying Flickr for common tags and English words. There should be no overlap. If you use this data in your research project, please cite the Yahoo dataset and our paper The Flickr 8k dataset has 8091 images and for each image, there are 5 descriptions. The dataset can be found at the University of Illinois site . I have used merging architecture and I have created my own convolutional network though normally the image feature extractions are done using pre-trained CNN architectures using transfer learning

Image caption by transfer learning — Flickr8k data by LU

Stanford Large Network Dataset Collectio

  1. CUFED Dataset. The CUration of Flickr Events Dataset (CUFED) dataset is an event curation dataset containing 1883 albums. Each album describes an event, and the event type of albums are from 23 most common events in our daily life, ranging from Wedding to Nature Trip
  2. Architecture diagram for how I built a deep learning model on Azure. Image by author. The dataset I used was the Flickr 8k dataset, which consists of over 8,000 images scraped from Flickr's database that is available under the Creative Commons license.It also included A CSV file containing five captions written by a person corresponding to each image (over 40,000 captions total)
  3. Therefore, recognizing the logo from images is challenging. To support efforts towards scalable logo classification task, we have curated a dataset, Logo-2K+, a new large-scale publicly available real-world logo dataset with 2,341 categories and 167,140 images. Compared with existing popular logo datasets, such as FlickrLogos-32 and LOGO-Net.
  4. Open Images is a dataset of almost 9 million URLs for images. These images have been annotated with image-level labels bounding boxes spanning thousands of classes. The dataset contains a training set of 9,011,219 images, a validation set of 41,260 images and a test set of 125,436 images. Size: 500 GB (Compressed
  5. Dataset Description This repository contains the weights for two StyleGAN2 networks trained on two composite T1 and T2 weighted open-source brain MR image datasets, and one StyleGAN2 network trained on the Flickr Face HQ image dataset. Example images sampled from the respective StyleGANs are also included
  6. The graph and table below show how different methods perform with respect to precision and speed on VOC 2007 dataset and VOC 2007 + 2012 dataset respectively: from Flickr depicting company.
  7. With that being said, in this paper we start from an example showing how human mobility patterns described by means of radius of gyration are different for Flickr social network and dataset of bank card transactions. Rather than capturing human movements closer to their homes, Flickr more often reveals people travel mode
Python based Project - Learn to Build Image Caption

Online Social Networks Researc

Interesting Social Media Datasets - KDnugget

The meta data has been preserved in the SuiteSparse Matrix Collection, but does not appear in the 2018 GraphChallenge data sets. Finally, the node ordering differs between the two; the SuiteSparse ordering either matches the SNAP node ids 1:n or 0:n-1, or when the graph is a subset of node ids, the node number is provided here in a Problem.aux. IJCNN 2011 Social Network Challenge run by Kaggle.com. The goal of the contest was to promote research on real-world link prediction, and the dataset was a graph obtained by crawling the popular Flickr social photo sharing website, with user identities scrubbed. By de-anonymizing much of th dataset, which have been cleaned and validated to remove label noise. The second dataset is the Yahoo Flickr Creative Commons 100M dataset (YFCC) [10]. The YFCC dataset contains 99,206,564 photos and 793,436 videos. The soundtracks of a subset (19,800) of YFCC videos comprise the competition's noisy dataset

Datasets - Yishi Li

UNU-WIDER : Government Revenue DatasetArchiving Southwest Alaska’s National Park bird data into

A. Tools and Datasets The information propagation process was analyzed on two different networks: an explicit network from Flickr social media, and an implicit network from the social service YouTube. Both networks were unimodal and extracted using the free and open tool NodeXL[22]. NodeXL allow The Dataset of Python based Project. For the image caption generator, we will be using the Flickr_8K dataset. There are also other big datasets like Flickr_30K and MSCOCO dataset but it can take weeks just to train the network so we will be using a small Flickr8k dataset The Social Network Growth data consists of three independent datasets: Facebook-Growth, Flickr-Growth and Youtube-Growth. The original files were collected from Online Social Network Research group. These growth datasets are focusing on the ways in which new user-user links are created. Data link: Social Networks (dynamics: addition of nodes. perform benchmarking analysis on the Flickr and Instagram (FI) dataset, which is currently the largest single label dataset containing 23,308 affective images. In[Rao et al., 2016], a multi-level deep network (MldeNet) is proposed to unify both low-level and high-level information of images. The existin

GitHub - hukkelas/FDF: Flickr Diverse Faces (FDF) is a

It also has Flickr and Youtube data in user network form. More social media data from the same group can be found here. These data drive the research of Dr. Huan Liu's group in Arizona State University. Academic Social Network Dataset This page contains citation graph about authors, papers, venues, and time information. It is a good resource. 9. Flickr 8k Dataset. The Flickr 8k dataset contains 8000 images and each image is labeled with 5 different captions. The dataset is used to build an image caption generator. 9.1 Data Link: Flickr 8k dataset. 9.2 Machine Learning Project Idea: Build an image caption generator using CNN-RNN model. An image caption generator model is able to. Warning: Images in this dataset overlap with images in ImageNet. Exercise caution when using networks pretrained with ImageNet (or any network pretrained with images from Flickr) as the test set of CUB may overlap with the training set of the original network Flickr-Faces-HQ Dataset (FFHQ) is a dataset consist of human faces and includes more variation than CELEBA-HQ dataset in terms of age, ethnicity and image background, and also has much better coverage of accessories such as eyeglasses, sunglasses, hats, etc. The images were crawled from Flickr and then automatically aligned and cropped Run 's3cmd get --recursive s3://yahoo-webscope/ XXXXXXX /' to download a local copy of I3 - Yahoo Flickr Creative Commons 100M (14G) (Hosted on AWS) It should be easy for you to follow these steps and get the dataset. I agree, the steps are not very transparent in their website! Share. Improve this answer. answered Mar 7 '18 at 21:16

Friendster Social Network: Dataset: Friends; Groups. The Human Disease Network. Marketing Scholars Social Network Analysis Free Dataset. Boards and gender; KDD cup 2003; YouTube, Flickr, ETHZ ChaLearn. Linqs - Link-based Classification. Caida. UCI ML repository. KDnuggets - Datasets for Data Mining. KDD Cup 2009 - Orange Data Sets. Amazon is making the Graph Challenge data sets available to the community free of charge as part of the AWS Public Data Sets program. The data is being presented in several file formats, and there are a variety of ways to access it. Data is available in the 'graphchallenge' Amazon S3 Bucket. ( https://graphchallenge.s3.amazonaws.com Large data sets mostly from finance and economics that could also be applicable in related fields studying the human condition: World Bank Data. Lots of years. Lots of Countries Countries | Data. Lots of of data variables (Topics | Data - Indicato.. This table shows the original information about the datasets used in the experiments. a The Email network among employees of Enron. Nodes in the network are individual employees and edges are individual emails [].b The wall posts from the Facebook New Orleans networks []. c The social network of Flickr users and their friendship connections. It is collected by taking a snapshot of the network. network model is described to predicting style of images, and perform an evaluation of the overall style classification accuracy. My work is based on the labeled Flickr dataset - photos extracted from 100 Million Flickr photographs annotated with 20 style labels. The result will be compared with baseline Fine-tuning CaffeNet for Styl

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We choose three real-world social networks: Facebook social network, NetHEPT citation network, and Flickr social network (Table 2 summarizes the statistical information of the datasets): (i) Facebook: this dataset is the friendship relationship network among New Orleans regional network on Facebook, spanning from September 2006 to January 2009. The train and development dataset have been predefined in the Flickr_8k.trainImages.txt and Flickr_8k.devImages.txt files respectively, that both contain lists of photo file names. From these file names, we can extract the photo identifiers and use these identifiers to filter photos and descriptions for each set The latter comprises 70,000 facial photographs posted to Flickr under a creative commons license. All license details are provided in the .json file associated with the dataset. Real faces such as these examples from the Flickr FFHQ dataset were used to train the algorithm

Fuzz Box: Visualizing the schooX dataset with Gephi, aResearchers introduce AI face anonymization model towaterscapes – the limenLichens of the Arctic (UExamples of our proposed QAGAN model trained on two

Scene Understanding Datasets. stanford background dataset (14.0MB) []The Stanford Background Dataset is a new dataset introduced in Gould et al. (ICCV 2009) for evaluating methods for geometric and semantic scene understanding. The dataset contains 715 images chosen from existing public datasets: LabelMe, MSRC, PASCAL VOC and Geometric Context.Our selection criteria were for the images to be. Based on recent work of visualizing CNN, we propose a technique to visualize pre-images, providing a means for understanding categorical properties that are captured by these representations. Finally, we show preliminary results on how a unified parametric model of texture analysis and synthesis can be used for attribute-based image. CONLUSIONS 49 The Flickr dataset helped us to improve the score by swapping the order in which we were using the clean and noisy datasets CaffeNet FINE-TUNING:FINE-TUNING: +1,3% 50. CONLUSIONS 50 The network actually succeeds in improving his performance by learning from its own mistakes when applying fracking. +0,9% CaffeNet FINE-TUNING: Fine. is an open image dataset of waste in the wild. It contains photos of litter taken under diverse environments, from tropical beaches to London streets. These images are manually labeled and segmented according to a hierarchical taxonomy to train and evaluate object detection algorithms. The best way to know TACO is to explore our dataset We collected an album dataset with both event type labels and image importance labels, refined from an existing CUFED dataset. We propose a hybrid system consisting of three parts: A siamese network-based event-specific image importance prediction, a Convolutional Neural Network (CNN) that recognizes the event type, and a Long Short-Term Memory. The dataset contains over 82,000 images, each of which has at least 5 different caption annotations. The code below downloads and extracts the dataset automatically. You forward each image through the network and store the resulting vector in a dictionary (image_name --> feature_vector)