This dataset was collected for an assessment of a crowd counting alogorithm. While predicting future Walt Disney World crowds is probably more useful for planning your next Walt Disney World trip, sometimes it's fun to look at the past. What is HappyDB? HappyDB is a corpus of 100,000 crowd-sourced happy moments. Educational Resource Centre (ERCe) Dataset Crowd-sourced data are data collected and reported by the user community using information and communication technologies. For each of the 50 search topics from the 2014 NIST TREC WebTrack, we selected 100 ClueWeb12 documents to be re-judged (without reference to the original TREC assessor judgment) by 5 MTurk workers each (50 topics x 100 documents x This dataset is to be used in conjunction with the roma/taxi dataset and provides the outdoor temperature of the areas in Rome where the taxis were located (289 taxicabs over 4 days). Additionally, we use a new high-definition crowd video dataset, which is used to evaluate the performance of different pedestrian tracking algorithms. We also present preliminary results of using the crowd to enhance DS training data for a relation classification model, without requiring the crowd to annotate the entire set. Home; People 4. Water Use Dataset Monthly residential water usage use by zip code. Gong, and T. The penguin dataset is a collection of images of penguin colonies in Antarctica coming from the larger penguin watch project, which was setup with the purpose of monitoring their changes in population. The 20BN-SOMETHING-SOMETHING dataset is a large collection of densely-labeled video clips that show humans performing pre-defined basic actions with everyday objects.

To summarize, we propose a new dataset called Crowd-Human with the following three contributions: To the best of our knowledge, this is the first dataset which specifically targets to address the crowd issue in human detection task. We show that many crowd disagreements seem valid and plausible, with disagreement in many cases due to judging errors by the original TREC assessors. It also provides crowd-sourced ratings in all three modalities, allowing for comparisons between single mode and multimodal perception. mit. Amazon Mechanical Turk will notify you when your results are ready and you will finally have a labelled dataset. CrowdSignals. into three subsets so as to train the model, perform a cross. About a thousand of the people with profiles in the dataset This dataset is classified as Public under the Access to Information Classification Policy. csv: Contains 18,143 projects collected from December 15/2013-Jun 15/2014. The CrowdHuman dataset is large, rich-annotated and contains high diversity. The whole dataset: 474 video clips from 215 crowded scenes.

edu) MIT Lincoln Laboratory Crowdsourcing can be a fast and cost-effective approach to obtaining data for training and evaluating machine learn-ing algorithms. Furthermore, we are interested in systems that can identify the start and end Specifically, it automatically detects events such as crowds running in one direction, or a crowd of people dispersing from a central point. Furthermore, for each scene, we provide coarse camera cal-ibration information as discussed in Section 3. proposed crowd dataset is useful for limited number of ap-plications and can not be described as a comprehensive test bed for crowd analysis algorithms. In our data collection setup, however, the crowd takes the photographs The proposed dataset in this study aims to enrich the WC based dataset by incorporating the vehicle-crowd interaction. The sequences are diverse, representing dense crowd in the public spaces in various scenarios such as pilgrimage, station, marathon, rallies and stadium. For the second group of experiment on UMN dataset, we aim to validate that the proposed abnormal crowd behavior detection method is much more competitive than the state-of-the-art means. VC based dataset is usually used for single/multiple, but not too many, pedestrian detection from a mono camera mounted in front of the vehicle. Limited Registrations Open for AI & ML BlackBelt Program (Beginner to Master). Disney Crowd Calendar FAQ on How to Use Our Tool to Spend Less Time in Line What is a Crowd Calendar? Our Walt Disney World Crowd Calendar is a researched measure of how many people are visiting Walt Disney World on a particular day. The scene UMN - Detection of Unusual Crowd Activity - dataset + more datasets on the website Evidence of Bronze Age human activity found on remote Scottish island The crowd is typically utilized for tasks like labeling images [7], annotating images for interactive tasks [4,15,17], or drawing detailed object segmentations [21].

As far as we know, it is the largest crowd counting dataset in terms of number annotated heads. If you remember what the Walt Disney World crowds were like on previous trips, you can compare our crowd measurements to what we're predicting and gain A simple video showing how generally a crowd density estimation method works using some steps from receiving an input image to segmenting its foreground into a number of regions and predicting the #CrowdCloudLIVE After each episode's WORLD premiere in April, show host, producer, and people seen on the show participated in post-premiere roundtable discussions. McCreadie Craig Macdonald Iadh Ounis Department of Computing Science University of Glasgow Glasgow, G12 8QQ Department of Computing Science University of Glasgow Glasgow, G12 8QQ Department of Computing Science University of Glasgow Glasgow, G12 8QQ [email protected] [email protected] Crowd person detection dataset This dataset consists of a diverse set of crowded videos. The format of each dataset is provided in the corresponding . The Historical Crowd Calendar. The other thing is that if a dataset By definition, these tasks are based on either properties of 1) the "crowd" as a whole, or 2) an individual's "deviation" from the crowd. The S-H OCK Dataset: Analyzing Crowds at the Stadium Davide Conigliaro1 , Paolo Rota2 , Francesco Setti3 , Chiara Bassetti3 , Nicola Conci4 , Nicu Sebe4 , and Marco Cristani1 1 University of Verona , 2 Vienna University of Technology , 3 ISTC–CNR (Trento) , 4 University of Trento Abstract The topic of crowd modeling in computer vision usually assumes a single generic typology of crowd, which The problem of using computer vision to track and understand the behavior of human beings is a very important one. a. 4 trillion was spent on software and services last year, with waste in the UK and US collectively estimated at $34 billion, G2 Crowd said. "The surprise for us was the ease with which we could leverage top data scientists globally - CrowdANALYTIX's client service approach enabled us to focus on the results while they managed the interactions. In ODDS, we openly provide access to a large collection of outlier detection datasets with ground truth (if available).

? TImes Square Intersection (TISI) Dataset A busy outdoor dataset for research on visual surveillance. The abundant sources of these videos also enrich the diversity and completeness. oregon. Our overall approach is composed of two components: a procedural simulation framework for generating crowd movements and behaviors, and a procedural rendering framework to generate different videos or images. Some of the advantages of crowd coding are that it is easily replicated and expanded, and, as such, presents the research community with the opportunity to amend and expand upon this coding scheme. In order to learn high-level features from videos or images, for example performing crowd counting and motion segmentation, a ground truth is often necessary for training or verifies the results. Crowd understanding has drawn increasing attention from the computer vision community, and its progress is driven by the availability of public crowd datas Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset - IEEE Journals & Magazine Our dataset has a large number of actors and raters, which allows us to study the variation in successful emotion communication. Abel said that for now the idea will be to keep Siftery’s product separate while it gets gradually integrated into G2 Crowd. Crowd Dataset containing crowd images with two events, benign and malicious, which look visually similar. State Government (1) Organizations Clear All. There are no Bureaus that match this search a new large-scale crowd dataset named Shanghaitech of nearly 1,200 images with around 330,000 accurate-ly labeled heads.

To fully complete it, though, and get reliable crowd answers we will have to validate and verify it after the analysis stage is done, so there's plenty of work to go around! Furthermore, the dataset has been generated using the new method of crowd coding, which allows a relatively fast manual coding of political texts. Details of dataset can be found in dataset_info. This dataset accompanies our ECCV 2018 paper. Uniquely, the site offers ratings of working conditions on different online labor platforms based on surveys with workers. out a reasonable portion of it for reliable testing, it is split. It includes code for data use, statistics calculation, calculation of salience metrics and metrics for scanpath similar This work presents a first focused study on saliency in crowd. C. Each clip with the extracted trajectories by gKLT tracker is preprocessed by deleting short trajectories, stationary points, and some errors. Question Answering in Context (QuAC) is a dataset for modeling, understanding, and participating in information seeking dialog. annotated crowd video face (ACVF-2014) database, along with face landmark information to encourage research in this important problem. None of these conversations are interactions with Alexa customers.

From Semi-Supervised to Transfer Counting of Crowds C. Our dataset consists of a big set of video clips annotated with crowd The resulting crowd video datasets are used to design accurate algorithms or training models for crowded scene understanding. To this end, we constructed our crowd video collection by crawling and downloading videos from search engines and stock footage websites (such as gettyimages and youtube) using text queries such as “cross- walk,” “political rally,” “festival,” and One point to take into account is that these datasets do benchmark against known attacks and do not measure the capability of detection against new attacks. This paper proposes a dataset of crowd sequences with associated ground truths (individual trajectories of Different than the typical use of crowdsourcing in generating computer vision datasets, we make use of the crowd to directly take the photographs that make up our dataset. These datasets and many oth-ers use the crowd to conduct higher-level tasks for a given set of images. The National Map (TNM) Liaisons partnership network A dataset for learning from crowd-sourced dot-annotations. Detection of unusual crowd activities in both indoor and outdoor scenes. odgt which contains the annotations of our dataset. Questions may be unanswerable. The crowd density in the walkways was variable, ranging from sparse to very crowded. Some $1.

We also share our WebCrowd25k dataset, including: (1) crowd judgments with rationales, and (2) taxonomy category labels for each judging disagreement analyzed. raising-capital (1) investing (1) crowdfunding (1) Formats Clear All. It contains code for the EM algorithm for learning DTs and DT mixture models, and the HEM algorithm for clustering DTs, as well as DT-based applications, such as motion segmentation and Bag-of-Systems (BoS) motion descriptors. CrowdHuman is a benchmark dataset to better evaluate detectors in crowd scenarios. It uses easy to navigate foundational base maps and makes it simple to interact with all our data themes to create your own map. 7,442 clips of 91 actors with diverse ethnic backgrounds were rated by multiple raters in three modalities: audio, visual, and audio-visual. State of Oregon (1) Publishers Clear All. Download descriptors of Flickr60K (independent dataset, 636MB) Download visual dictionaries (100, 200, 500, 1K, 2K, 5K, 10K, 20K, 50K, 100K and 200K visual words, 144MB) learned on Flickr60K Download pre-computed features for one million images, stored in 1000 archives of 1000 feature files each (235GB in total). " WWW Crowd Dataset. g. crowd datasets label only a subset of the visible individuals e.

Published results Unlike these proposals, we show that there is no need for pedestrian detection, object tracking, or object-based image primitives to accomplish the pedestrian counting goal, even when the crowd is sizable and inhomogeneous, e. Figure Eight combines the best of human and machine intelligence to provide high-quality annotated training data that powers the world’s most innovative machine learning and business solutions. The dataset analyzes the crowd using 4 cameras, at different resolutions and different levels of detail. These metrics consider multi target scenarios usually present in crowd scenes. Images were acquired using either an IrisAccess LG4000 or an IrisGuard AD100 sensor; both sensors are equally represented. Leveraging CNN articles from the DeepMind Q&A Dataset, we prepared a crowd-sourced machine reading comprehension dataset of 120K Q&A pairs. Related publications: Jing Shao, Kai Kang, Chen Change Loy, and Xiaogang Wang. The new This dataset was collected and prepared by the CALO Project (A Cognitive Assistant that Learns and Organizes). It works faster and has higher accuracy than using a model trained on the COCO dataset. Illumination is one of the most critical aspects of photography. Answers may be multiword passages of the source text.

non-geospatial (1) Tags Clear All. CAVIAR Test Case Scenarios. . We also evaluated two state-of-the-art methods on our dataset, showing that our dataset can be effectively used as a benchmark for fine-grained abnormality detection. No two images in this dataset are taken from the same viewpoint. It contains video name, video length, video size, video source, video t0 (the frame for group detection evaluation), group detection (300 How to Crowdsource Anything. For the CAVIAR project a number of video clips were recorded acting out the different scenarios of interest. org. ["the crowd"] in the form of an open call for solutions 2,016 Best Crowd Free Video Clip Downloads from the Videezy community. To this end, we have constructed our crowd video collection by crawling and downloading videos from search engines and stock footage websites. The variance of this score over the crowd’s judgments is included as well.

To the best of our knowledge, this is the largest dataset for evaluating crowd counting algorithms. KickSat: A Crowd-Funded Technology Demonstration Mission for the Sprite ChipSat - KickSat is a cubesat technology demonstration mission designed to demonstrate the deployment and operation of prototype sprite "ChipSats" (femtosatellites) developed at Cornell University. Furthermore, we are interested in systems that can identify the start and end Crowd worker create labels for dataset to earn small amount of money. com. UCF-CROWD dataset contains 50 images covering different crowd scenes. Awesome Crowd Counting. Let’s say if we were dealing with image recognition AI and the price of one set of data is 10 cents, a crowd worker can earn No matter whether the crowd is moving or not, the crowd texture would be captured by the CNN model and can obtain a reasonable counting result. com to Ushahidi. A comparison of the proposed and existing WC based datasets are shown in table I. Loy, S. The sequences contain reflections, shadows and difficult lighting fluctuations, which makes crowd counting For the first group of experiment on crowd PETS09 dataset, we aim to verify that the particle entropy is a good feature for description of the crowd distribution.

CSM (Conventional and Social Media Movies) Dataset 2014 and 2015 Data Set Using Crowd-source based features from social media and Conventional features to predict The purpose of the NewsQA dataset is to help the research community build algorithms that are capable of answering questions requiring human-level comprehension and reasoning skills. G2 Crowd has been building a name for itself as a place where IT buyers can discover and buy software Large-scale and diverse datasets. To facilitate saliency in crowd study, a new dataset of 500 images is constructed with eye tracking data from 16 viewers and annotation data on faces. KEYWORDS Using Crowdsourcing to Generate an Evaluation Dataset for Name Matching Technologies Alya Asarina (alya. It allows machine learning models to develop fine-grained understanding of basic actions that occur in the physical world. 5. The dataset contains 474 video clips from 215 crowded scenes. The crowd was asked about the truth value of the second sentence if the first sentence were true and to what extent the sentences are related on a scale of 1 to 5. This is an OpenCV C++ library for Dynamic Teture (DT) models. This dataset is a collection of English sentence pairs. Notes: 1.

The largest crowd dataset with crowd attributes annotations - We establish a large-scale crowd dataset with 10,000 videos from 8,257 scenes. References. In fact, we argue The dataset is already over 70% analyzed at the time of writing (that's because it was already active for a little bit before the Megathon!). What is odgt? odgt is a file format that each line of it is a JSON, this JSON contains the whole annotations for the relative image. info@cocodataset. By leveraging crowd-sourcing platforms, such The effort was initiated at KTH: the KTH Dataset contains six types of actions and 100 clips per action category. Compare all types of P2P investing by Data. In some cases, a few records might not have achieved any consensus, so could either improve your task instructions or, if the remaining dataset is big and statistically distributed enough to generate a useful model, simply discard them. The difficulties to gather annotated real-world data and We annotate Behance imagery with rich attribute labels for content, emotions, and artistic media. HTML (1) Organization Types Clear All. The dataset is unique in the crowd literature, and in gen-eral in the surveillance realm.

CrowdHuman dataset. Crowdmap launched in 2010 to give people the tools to organize, collect, and visualize data in a single place, by pressing just a few buttons. Furthermore, the dataset has been generated using the new method of crowd coding, which allows a relatively fast manual coding of political texts. Are you looking for a dataset that was generated through crowdsourcing or a dataset about crowdsourcing? If it's the former, check out CrowdFlower's Data for Everyone. CrowdANALYTIX delivered a 21% improvement on the predictive power of our internal models. Crowdsourcing a News Query Classification Dataset Richard M. The crowd datasets are obtained a variety of sources, such as UCF and Data-driven crowd datasets to evaluate the proposed framework. This dataset consists of two part- The 2013 TREC Crowdsourcing Track was done with subsets of the ClueWeb12 dataset. A recurrent problem lies in the evaluation of those methods since few common benchmark are avail-able to compare and evaluate the techniques is avail-able. data. For the dataset and more information, please see here.

world Feedback The Flash and Ambient Illuminations Dataset (FAID) consists of aligned flash-only and ambient-only illumination pairs captured with mobile devices by many crowd-workers participated in our collection effort. These videos contain considerable variation in terms of viewing angle, scale, crowd motion and crowd density. We support annotation_train. The framework used is matconvnet, so to use the the provided code you should either download the rather large provided packaged datafile, or write your own code to package the original TU-Berlin sketch data for matconvnet. It is an extreme crowd dataset with the head count ranging from 94 to 4543. Motion Emotion Dataset(MED) Despite the huge research on crowd on behavior understanding in visual surveillance community, lack of publicly available realistic datasets for evaluating crowd behavioral interaction led not to have a fair common test bed for researchers to compare the strength of their methods in the real scenarios. The goal of the corpus is to advance the state of the art of understanding the causes of happiness that can be gleaned from text. Build your first crowd counting algorithm with an impressive accuracy using Deep Learning Crowd counting has been an inexact science for decades. edu, swoh@illinois. The track organizers extracted the documents from the ClueWeb12 dataset and distributed them via tgz files asa convenience to track participants. Name matching is the challenging In a random sample of videos for this class, we found 6 / 9 (67%) were accurate.

edu ABSTRACT In this paper, we address the problem of selectivity estimation in What This Unprecedented 13-Million-Person Family Tree Reveals. The crowdsourcing data aggregation is performed using ambiguity-aware CrowdTruth metrics, that are used to capture and interpret inter-annotator disagreement. These data sources are accessed natively on Quantopian. Task: This dataset contains different crowd activities and the task is to provide a probabilistic estimation of each of the following events: walking, running, evacuation (rapid dispersion), local dispersion, crowd formation and splitting at different time instances. Users inside and outside the Bank can access this dataset. More specifically, the Chars74K dataset, Character Recognition in Natural Images (both English and Kannada are available) Face Recognition Benchmark GDXray: X-ray images for X-ray testing and Computer Vision CUHK Crowd Dataset 474 video clips from 215 crowded scenes, with ground truth on group detection and video classes. shows examples in our dataset compared with those in other human detection datasets. m . Software marketplace G2 Crowd acquires Siftery to fold software usage into its dataset. 6 Crowdsourced image annotation has been successfully used to serve a diverse set of scientific goals, including: classification of galaxy morphology, 7 the mapping of neuron connectivity in the mouse 3. In fact, we argue Unlike these proposals, we show that there is no need for pedestrian detection, object tracking, or object-based image primitives to accomplish the pedestrian counting goal, even when the crowd is sizable and inhomogeneous, e.

Compared with the existing datasets, GCC is a more large-scale crowd counting dataset in both the number of images and the number of persons. Performance of Top 50+ P2P Lending & Equity Platforms by Funding Volume, Investor Bonuses & Learn P2P Investing. GAMMA UNC 4,845 views. As first contribution of this paper, a more comprehensive crowd dataset with many realistic scenarios is presented. But not for all classes, but rather for only some selected ones. The dataset is composed of images from one of three equally-represented classes: No Lens, Soft Lens, and Textured Lens. This dataset contains 1132 annotated video sequences which are captured by 108 surveillance cameras, all from Shanghai 2010WorldExpo. A Dataset of Flash and Ambient Illumination Pairs from the Crowd Ya˘gız Aksoy1,2, Changil Kim1, Petr Kellnhofer1, Sylvain Paris3, Mohamed Elgharib4, Marc Pollefeys2,5, and Wojciech Matusik1 Task: This dataset contains different crowd activities and the task is to provide a probabilistic estimation of each of the following events: walking, running, evacuation (rapid dispersion), local dispersion, crowd formation and splitting at different time instances. The crowd count model used here is a Faster RCNN Inception model trained on a custom dataset of people at various scales. The following features: Name; Url; State; Currency; Top Category; Category Welcome to Violent-Flows - Crowd Violence \ Non-violence Database and benchmark: A database of real-world, video footage of crowd violence, along with standard benchmark protocols designed to test both violent/non-violent classification and violence outbreak detections. 1.

Fair Crowd Work collects information about crowd work, app-based work, and other "platform-based work" from the perspective of workers and unions. which is why the crowd-sourced information was so valuable. We also introduce a new dataset for evaluating cross-scene crowd counting methods. The toolbox will allow you to customize the portion of the database that you want to download, (2) Using the images online via the LabelMe Matlab toolbox. It uses a Hidden Markov Model (HMM) to classify based on features extracted from the optical flow. An ever-increasing data repository with contributions from humans across the world, thanks to our Crowd Acting platform 18k_Projects. Experiment results on UCF-CROWD. The dataset is used in our CVPR paper. The dataset is a vision dataset taken from a QUT Campus and contains three challenging viewpoints, which are referred to as Camera A, Camera B and Camera C. We introduce a new approach where the crowd captures the images that make up the dataset directly, and illustrate our strategy on the ash/no-ash task. Video clips created July 11, 2003 and January 20, 2004 .

Why would I use this data? The data can provide signal for use in your Deep Neural Network for Sketch Recognition: Train and test code for the CNN in our BMVC'15 paper. The main goal of our work is to produce a rich labeled dataset for machine learning. It has applications in the areas of human-computer interaction, user interface design, robot learning, and surveillance, among others. I have the full COCO 2017 Dataset (Train,Test,Val) and i want to create tf_record files out of it. The views expressed are those of the authors and do not necessarily This dataset (IGC) includes image-grounded conversations consisting of an image, a question, a response, and up to four further responses, which together constitute a conversation. In recent years, crowd-sourcing has been increasingly used for bioinformatics, with image annotation representing an important application area. Blockbuster database - dataset by crowdflower | data. It works well on images of crowd taking from close by and from very far up, as well as under different background and lightning conditions. The dataset used for experimental evaluation consists of UCSD, Violent-flows, CUHK, UCF50, Rodriguez’s, The mall and finally the worldExpo’s dataset. Xiang CUHK Square Dataset (for pedestrian detection) Shanghai WorldExpo'10 Crowd Dataset: WWW Crowd Attribute Dataset: CUHK Crowd Dataset: WorldExpo’10 Crowd Counting Dataset: Pedestrian Walking Path Dataset: Stationary Crowd Detection Dataset Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis Camille Dupont∗ Luis Tob´ıas ∗ Bertrand Luvison CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France Crowd Escape Panic, 11 Videos, 3 Scenes, Videos: a normal starting section and an abnormal ending section Trained on normal section of 5 videos of scene 1, Tested on all (e) The ROC on UMN dataset Details. It contains video name, video length, video size, video source, video t0 (the frame for Ushahidi released a total re-imagination of its crowdsourcing service in 2015, moving the tools it provided at Crowdmap.

Please cite the following publication(s) when this dataset is used in any academic and research reports. Viewers like you listened in, asked questions, and were able to dive deeper into the power of Citizen Science. Crowd Segmentation Data Set The keyframes of the videos in the dataset are shown below. The metrics used are MOTA (multiple person tracker accuracy) and MOTP (multiple person tracker precision). We provide two distinct use-case scenarios, define their experimental protocols, and report baseline ver- Dataset Type Clear All. There are two ways to work with the dataset: (1) downloading all the images via the LabelMe Matlab toolbox. The objective of the pilot was to study the feasibility of crowd-sourced price data collection. 94 crowd-related attributes are designed and annotated to describe each video in the dataset. The WWW dataset provides 10,000 videos with over 8 million frames from 8,257 diverse scenes, therefore offering a superiorly comprehensive dataset for the area of crowd understanding. Data. Our focus is to provide datasets from different domains and present them under a single umbrella for the research community.

Note that the primary focus of this paper is not to provide the state-of-the-art performance on this dataset but to show the beneficial aspects of using semantically-driven keyword information. , has sub-components with different dynamics, and appears in unconstrained outdoor environments. The corpus contains a total of about 0. It contains data from about 150 users, mostly senior management of Enron, organized into folders. A crowd sourced database of how well beer styles (Stout, Pale Ale, etc) and additions (chocolate, bacon, cherry) go with each other. Data-driven Crowd Analysis Dataset In order to perform data-driven analysis of crowd videos we aim to sample the set of crowd videos as broadly as possible. io will use crowdfunding to finance the collection of a massive, shared dataset at a per sponsor cost that is orders of magnitude less than an in-house data collection. At the highest level, it models the network of social connections among the public (who knows whom in the neighborhood), what is the supported team and © 2019 Kaggle Inc. The next time you need to get something done, you might want to try appealing to the masses for some help. Software marketplace G2 Crowd acquires Siftery to fold software usage into its dataset Posted on December 12, 2018 December 12, 2018 by DREAMTECH After raising $55 million in October at a $500 million valuation, business software marketplace G2 Crowd is making its first-ever acquisition to bring more features to its platform. The S-HOCK dataset and some applications on the spectator crowd have been published at CVPR 2015 [].

Free Crowd Stock Video Footage licensed under creative commons, open source, and more! Download the Dataset. As a result, our dataset covers a wide variety of scenes taken by many casual photographers. We sell these very same data feeds at prices you can afford, for use in your strategy. fyi's compensation data. Computer Vision Research Laboratory, Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556 AGORASET: a dataset for crowd video analysis Pierre Allain IRISA, UBS Vannes, France Nicolas Courty IRISA, UBS, and Institute of Automation Beijing, China Thomas Corpetti LIAMA, CNRS WorldExpo’10 crowd counting dataset was firstly introduced by Zhang et al. This data was originally made public With the goal of enabling deeper object understanding, we deliver the largest attribute dataset to date. World Data Atlas Sources Knoema Hospital Information Dataset, African Countries, Crowd Sourced Sudan Sudan royal care international hospital - number of doctors (full time employees) was 200 in 2014 - the single year for which the data is available at the moment. The dataset consists of facial and vocal emotional expressions in sentences spoken in a range of basic emotional states (happy, sad, anger, fear, disgust, and neutral). Loading Unsubscribe from Tsan Kwong Wong? Realtime Crowd Behavior Analysis and Prediction - Duration: 4:19. The dataset was created by a large number of crowd workers. 5M messages.

Hedge funds and institutions buy expensive data for use in their strategies. 2015 UNC Crowd Dataset Sample Tsan Kwong Wong. The Crowd-11 dataset being large enough for holding. It is the first time such a large set of attributes on crowd understanding is defined. CrowdHuman contains 15000, 4370 and 5000 images for training, validation, and testing, respectively. We believe our Behance Artistic Media dataset will be a good starting point for researchers wishing to study artistic imagery and relevant problems. Counting with the Crowd Adam Marcus David Karger Samuel Madden Robert Miller Sewoong Oh MIT CSAIL fmarcua,karger,madden,rcmg@csail. Introduction. Two is company, three’s a crowd: automated pairing and matching of two-sided reporting in EMIR derivatives’ data 1 Sébastien Pérez-Duarte and Grzegorz Skrzypczynski, European Central Bank . The knowledge is collected from a variety of unstructured or loosely structured text resources, and each conversation refers to a related set of entities. Yahoo announced this morning that it’s making the largest-ever machine learning dataset available to the academic research community through its ongoing program, Yahoo Labs Webscope.

Our dataset is built from Behance, a portfolio website for professional and commercial artists The main dataset is composed of 6000 images for model training and 1200 images for model evaluation. The National Map Viewer (TNM Viewer) is the one-stop destination for visualizing all the latest National Map data. Dataset We introduce a new dataset for scene invariant crowd counting which brings together existing crowd detection datasets [19, 22], tracking datasets [3] as well as a num-ber of new videos, all with a consistent annotation format. asarina@ll. Related Publication: Saad Ali and Mubarak Shah, A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2007. The data set can be downloaded by clicking here. Crowd Acting™: How to Grow Large-Scale Video Datasets for Deep Learning In this post, we discuss the limitations to the traditional data collection approach and illustrate how to use crowd Some $1. desc file. Note that quality in the unbalanced training set may be significantly lower. 1 This paper was prepared for the meeting. world Feedback The purpose of the NewsQA dataset is to help the research community build algorithms that are capable of answering questions requiring human-level comprehension and reasoning skills.

Each conversation (and each turn of the conversation) in this dataset is linked to knowledge provided to crowd workers. 25,099 information retrieval relevance judgments collected on Amazon's Mechanical Turk platform. Using our COCO Attributes dataset, a fine-tuned classification system can do more than recognize object categories -- for example, rendering multi-label classifications such as ''sleeping spotted curled-up cat'' instead of simply ''cat''. After that, our crowds tagged all the cats and dogs in the crowd phenomena and the simulation of realistic sce-narios. In addition, we provide up to four additional questions that could have been asked, and up to four additional responses to a first question, so that the diversity of Compare compensation data across companies and titles! Get direct access to a live updating spreadsheet with all of Levels. observe. The dataset is intended for research purposes only and as such cannot be used commercially. the UCF crowd tracking dataset [1], or contain only ve-rysparselyannotatedcrowds[29]orbriefvideo-levelbased annotations [10] describing the crowds rather than the indi-viduals. CROWDSOURCING TRANSPORTATION SYSTEMS DATA FEBRUARY 2015 MICHIGAN DEPARTMENT OF TRANSPORTATION AND THE CENTER FOR AUTOMOTIVE RESEARCH v EXECUTIVE SUMMARY Crowdsourcing involves leveraging the combined intelligence, knowledge, or We brought together a crowd to upload photos based on those criteria to our platform, then took a second pass through the repository to make sure they fit the specifications, programmatically checking for size and orientation, with our contributors checking the remaining requirements. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts The dataset includes three related parts: Crowd Relevance Judgments. For ease of use I have the MATLAB file that loads the datasets available, named CrowdManager.

It was followed by the Weizmann Dataset collected at the Weizmann Institute, which contains ten action categories and nine clips per category. However, 50 images are undersize for training a new architecture. Questions are written by human users in natural language. In both cases, to accomplish the task it should suffice to build good models for the patterns of crowd behavior. Our Team Terms Privacy Contact/Support This work presents a novel crowd dataset contains around 45,000 video clips which annotated by one of the five different fine-grained abnormal behavior categories. UCSD Anomaly Detection Dataset The UCSD Anomaly Detection Dataset was acquired with a stationary camera mounted at an elevation, overlooking pedestrian walkways. The research is based on a project started within an international hockey competition, originating the first spectator crowd dataset: S-HOCK. Details Deflategate Sentiment - dataset by crowdflower | data. 4. This dataset consists of videos of indoor and outdoor scenes, recorded at different locations with 30-80 pedestrians. Contribute to gjy3035/Awesome-Crowd-Counting development by creating an account on GitHub.

GCC dataset consists of 15,212 images, with resolution of 1080×1920, containing 7,625,843 persons. The problem of using computer vision to track and understand the behavior of human beings is a very important one. In the normal setting, the video contains only pedestrians. Documents are CNN news articles. gov (1) Bureaus Clear All. The ACVF-2014 dataset contains 201 videos of 133 subjects where each video contains mul-tiple subjects. Above two sets were recorded in controlled and simplified settings. tackle the challenge of crowdsourcing a computational photography dataset. , $1-$2 per data Saliency-related data sets FixaTons: An open project that consists of a collection of datasets, within a uniform framework in python, for scanpaths and fixations studies. odgt and annotation_val. edu) and Olga Simek (osimek@ll.

The binary files need to be loaded with Matlab. In order to track individuals in a wide range of crowd scenes, we aim to sample the set of crowd videos as broadly as possible. We aim to build a large enough group of sponsors to make the data accessible even to students who need data for a thesis or class project (e. crowd dataset
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