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The OECD dataset APIs let you programmatically access a selection of our top used datasets covering data for OECD countries and selected non-member economies. OECD datasets are dynamically updated. API showcases. OECD Data portal is developed using the OECD dataset JSON API. Mar 15, 2017 · Before we jump into building the classification model, let's get a feel for our data using an intuitive visualization: the word cloud. We can then visually inspect the image to see whether there seems to be a difference in the language between the ham and spam messages. In natural language processing, we like to deal with corpus objects.

We've partnered with VirusTotal and a number of WHOIS services to create a comprehensive dataset of malicious domains related to coronavirus. We've analyzed and documented more than 300,000 domains and identified more than 80,000 potentially malicious sites. Aug 02, 2017 · KMeans is a clustering algorithm which divides observations into k clusters. Since we can dictate the amount of clusters, it can be easily used in classification where we divide data into clusters which can be equal to or more than the number of classes. I’ll be using the MNIST dataset which comes with scikit learn which is a collection of ... May 22, 2017 · The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most methods obtain similar performance on existing small-scale benchmarks. This paper re-evaluates state-of-the-art architectures in light of the new Kinetics Human Action Video dataset. Kinetics has two orders of magnitude more data, with 400 ...

High Performance URL Database with Unmatched Coverage & Accuracy 500 Categories. 99.9%+ Coverage and Over 99% Accuracy of the ActiveWeb. zvelo’s most popular URL datasets including topic-based, malicious, and objectionable URLs are packaged for easy implementation on local servers, appliances, or cloud access. Pros and cons dataset used in (Ganapathibhotla and Liu, Coling-2008) for determining context (aspect) dependent sentiment words, which are then applied to sentiment analysis of comparative sentiences (comparative sentence dataset). The same form of Pros and Cons data was also used in (Liu, Hu and Cheng, WWW-2005).
Apr 21, 2020 · The collection includes datasets from the Humanities, e.g. History and Archaeology, Social sciences, and Geospatial sciences, primarily with a European focus. DANS is an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW) and the Netherlands Organisation for Scientific Research (NWO). CS341 Project in Mining Massive Data Sets is an advanced project based course. Students work on data mining and machine learning algorithms for analyzing very large amounts of data. Both interesting big datasets as well as computational infrastructure (large MapReduce cluster) are provided by course staff.

Tags computer vision dataset deep learning dataset image dataset for classification image datasets for machine learning stl-10 dataset Richa Bhatia She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world. MIX Market data has been reported by financial services providers (FSPs) targeting the unbanked in developing markets around the globe. The data were reported to MIX for inclusion in its MIX Market platform and related products for dissemination to a broad public. The FSP data points include data on financial statements (income statement ... I am wondering if there are any public datasets of Google news with various news categories such as politics, entertainment, lifestyle, general news, sports etc. I want to use such dataset for topic detection of various sentences or paragraphs. I was planning to train a classifier with such a dataset and use it for predictions. FAOSTAT provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.

YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse vocabulary of 3,800+ visual entities. It comes with precomputed audio-visual features from billions of frames and audio segments, designed to fit on a single hard disk. Mendeley Data for Institutions. Mendeley Data offers modular research data management and collaboration solutions for your university, offering a range of institutional packages which can be tailored to best suit your research data requirements.

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The MIRFLICKR-25000 open evaluation project consists of 25000 images downloaded from the social photography site Flickr through its public API coupled with complete manual annotations, pre-computed descriptors and software for bag-of-words based similarity and classification and a matlab-like tool for exploring and classifying imagery. COMMONVOICE ¶ class torchaudio.datasets.COMMONVOICE (root, tsv='train.tsv', url='english', download=False) [source] ¶. Create a Dataset for CommonVoice. Each item is a tuple of the form: (waveform, sample_rate, dictionary) where dictionary is a dictionary built from the tsv file with the following keys: client_id, path, sentence, up_votes, down_votes, age, gender, accent. Dataset for predicting if a given image is an advertisement or not. Features encode geometry of ads and phrases occurring in the URL. 3279 Text Classification 1998 N. Kushmerick Internet Usage Dataset General demographics of internet users. None. 10,104 Text Classification, clustering 1999 D. Cook URL Dataset

From now on the data for all tasks consists of the previous years' images augmented with new images. In earlier years an entirely new data set was released each year for the classification/detection tasks. Augmenting allows the number of images to grow each year, and means that test results can be compared on the previous years' images. American University Data. The Integrated Postsecondary Education Data System (IPEDS) is the primary source for data on colleges, universities, and technical and vocational postsecondary institutions in the United States via the National Center for Education Statistics.

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The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final. MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation. The dataset includes around 25K images containing over 40K people with annotated body joints. The images were systematically collected using an established taxonomy of every day human activities.

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OECD.Stat enables users to search for and extract data from across OECD’s many databases. 4,912 datasets found. HWS2018 Habitat suitability modelling results for Fish. Data describes habitat suitability modelling (HSM) results for fish in streams. The data was developed by University of Melbourne through the Melbourne Waterways Research... Water Supply Total Daily Volume Drawn from Melbourne Water Storages.

The Presto Data Lookup service is a RESTful web API that offers programmatic access to data in the library's central online systems. The Data Lookup API uses a simple URL request syntax and returns results in XML or JSON format. Note that some of the resources available in this service must be accessed from a pre-registered IP address. Write to ...  

The datasets created and released for this competition may serve as reference benchmarks for future research in satellite image analysis. Furthermore, since the challenge tasks will involve "in the wild" forms of classic computer vision problems, these datasets have the potential to become valuable testbeds for the design of robust vision ... The datasets created and released for this competition may serve as reference benchmarks for future research in satellite image analysis. Furthermore, since the challenge tasks will involve "in the wild" forms of classic computer vision problems, these datasets have the potential to become valuable testbeds for the design of robust vision ...

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Find CSV files with the latest data from Infoshare and our information releases. High Performance URL Database with Unmatched Coverage & Accuracy 500 Categories. 99.9%+ Coverage and Over 99% Accuracy of the ActiveWeb. zvelo’s most popular URL datasets including topic-based, malicious, and objectionable URLs are packaged for easy implementation on local servers, appliances, or cloud access. Genre classification dataset. A subset of the dataset was created for genre classification experiments. It contains 100 albums by genre from different artists, from 13 different genres. All the albums have been mapped to MusicBrainz and AcousticBrainz. It contains semantic, acoustic and sentiment features.

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Abstract: We introduce MURA, a large dataset of musculoskeletal radiographs containing 40,561 images from 14,863 studies, where each study is manually labeled by radiologists as either normal or abnormal. To evaluate models robustly and to get an estimate of radiologist performance, we collect additional labels from six board-certified Stanford radiologists on the test set, consisting of 207 musculoskeletal studies.
Welcome to MRAN. Download Microsoft R Open 3.5.3 now. R is the world’s most powerful programming language for statistical computing, machine learning and graphics and has a thriving global community of users, developers and contributors. Microsoft R Open. Microsoft R Open is the enhanced distribution of R from Microsoft Corporation. The ...

Provides a listing of available World Bank datasets, including databases, pre-formatted tables, reports, and other resources. DataBank An analysis and visualisation tool that contains collections of time series data on a variety of topics. * DayX.svm (where X is an integer from 0 to 120) --- The data for day X in SVM-light format. A label of +1 corresponds to a malicious URL and -1 corresponds to a benign URL. Attribute Information: Attributes are anonymized, but correspond to lexical and host-based features gathered for each URL. Relevant Papers: N/A. Citation Request:

Genre classification dataset. A subset of the dataset was created for genre classification experiments. It contains 100 albums by genre from different artists, from 13 different genres. All the albums have been mapped to MusicBrainz and AcousticBrainz. It contains semantic, acoustic and sentiment features. In 2013, n-gram character-based web page classification on DMOZ dataset for 14 categories was proposed and this research paper [10] ... Uniform Resource Locator (URL)-based web page classification ...

Once the data is ready, you would apply various Machine Learning algorithms such as classification, regression, clustering and so on to solve the problem at your end. The type of algorithms that you apply is based largely on your domain knowledge. Even within the same type, for example classification, there are several algorithms available. High Performance URL Database with Unmatched Coverage & Accuracy 500 Categories. 99.9%+ Coverage and Over 99% Accuracy of the ActiveWeb. zvelo’s most popular URL datasets including topic-based, malicious, and objectionable URLs are packaged for easy implementation on local servers, appliances, or cloud access.

This program is based on the paper A Leaf Recognition Algorithm for Plant classification Using Probabilistic Neural Network, by Stephen Gang Wu, Forrest Sheng Bao, Eric You Xu, Yu-Xuan Wang, Yi-Fan Chang and Qiao-Liang Xiang, published at IEEE 7th International Symposium on Signal Processing and Information Technology, Dec. 2007. The dataset is to-date one of the largest fully annotated datasets available. One of the main motivations for the proposed recording setup “in the wild” as opposed to a single controlled lab environment is for the dataset to more closely reflect real-world conditions as it pertains to the monitoring and analysis of daily activities. Tags computer vision dataset deep learning dataset image dataset for classification image datasets for machine learning stl-10 dataset Richa Bhatia She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world.

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Funny voice messages to sendIMDB Movie reviews sentiment classification. Dataset of 25,000 movies reviews from IMDB, labeled by sentiment (positive/negative). Reviews have been preprocessed, and each review is encoded as a sequence of word indexes (integers). Package Item Title Rows Cols n_binary n_character n_factor n_logical n_numeric CSV Doc; boot acme Monthly Excess Returns 60 3 0 1 0 0 Dec 20, 2013 · Web page classification using n-gram based URL features Abstract: Exponential increase in the number of web pages in the World Wide Web poses a great challenge in information filtering and also makes topic focused crawling a time consuming process in searching for relevant information. From now on the data for all tasks consists of the previous years' images augmented with new images. In earlier years an entirely new data set was released each year for the classification/detection tasks. Augmenting allows the number of images to grow each year, and means that test results can be compared on the previous years' images.

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Download National Datasets Data collected and managed by Forest Service programs is available in a map service and two downloadable file formats – in a shape file and an ESRI file geodatabase. Metadata is available that describes the content, source, and currency of the data. We've partnered with VirusTotal and a number of WHOIS services to create a comprehensive dataset of malicious domains related to coronavirus. We've analyzed and documented more than 300,000 domains and identified more than 80,000 potentially malicious sites.

UCR Time Series Classification Archive. Last major update, Summer 2015: Early work on this data resource was funded by an NSF Career Award 0237918, and it continues to be funded through NSF IIS-1161997 II and NSF IIS 1510741. ImageNet uses a variant of the broad WordNet schema to categorize objects, augmented with 120 categories of dog breeds to showcase fine-grained classification. One downside of WordNet use is the categories may be more "elevated" than would be optimal for ImageNet: "Most people are more interested in Lady Gaga or the iPod Mini than in this rare ... Given n number of raw URLs, I'd like to be able to classify them by: news, blog, photo and video. An example would be if a link directs a user to a photo, would it be enough to say that the raw link

We've partnered with VirusTotal and a number of WHOIS services to create a comprehensive dataset of malicious domains related to coronavirus. We've analyzed and documented more than 300,000 domains and identified more than 80,000 potentially malicious sites. Dashboard data classification. 08/10/2017; 3 minutes to read; In this article. Every dashboard is different, and depending on the data source you are connecting to, you will likely find that you and the colleagues you share with will need to take different precautions depending on the sensitivity of the data. Scikit-learn is a free machine learning library for Python. It features various algorithms like support vector machine, random forests, and k-neighbours, and it also supports Python numerical and scientific libraries like NumPy and SciPy.

ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. Oct 29, 2018 · The results show that a large, deep convolutional neural network is capable of achieving record-breaking results on a highly challenging dataset using purely supervised learning. Year after the publication of AlexNet was published, all the entries in ImageNet competition use the Convolutional Neural Network for the classification task.