Artificial Intelligence

The Badminton Activity Recognition (BAR) Dataset was collected for the sport of Badminton for 12 commonly played strokes. Besides the strokes, the objective of the dataset is to capture the associated leg movements.

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This is the dataset associated with the IEEE-JBHI submission "Synthesizing Electrocardiograms With Atrial Fibrillation Characteristics Using Generative Adversarial Networks". This dataset contains 4,768 synthesized atrial fibrillation (AF)-like ECG signals stored in PhysioNet MAT/HEA format.

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There are 84168 blogs in the dataset.

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85 Views

A total of 10,003 images of product design submissions of Hardware Product Design Competitionwere collected to form the product design image database, which has 835 samples of awarded class (high aesthetic level), 4,990 samples of qualified class (middle aesthetic level) and 4,178 samples of eliminated class (low aesthetic level). The Product Design Aesthetic Database includes dataset of image features extracted by the optimal method VGG-19.

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Real-World Multimodal Foodlog Database (RWMF) database is built for evaluating the multimodal retrieval algorithm in real-life dietary environment, and it has 7500 multimodal pairs in total, where each image can be related to multiple texts and each text can be related to multiple images. Details of this database can be found in this paper: Pengfei Zhou, Cong Bai, Kaining Ying, Jie Xia, Lixin Huang, RWMF: Real-World Multimodal Foodlog Database, ICPR 2020

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Three month Coffee Leaf Rust dataset generated by the Cyber Physical Data Collection System.

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3742 Views

This dataset concludes source data which is professional fact descriptions from Chinese law office website and target data which is non-professional fact descriptions from daily spoken language.

The dataset is for transfer learning in law domain.
The dataset also concludes processed dictionary and .npy files.
The task of transfer learning is to predict the accusation based on the description.

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Music and animal's basic emotions associated with acoustic signals.

Files associated with animals’ sounds mainly were based on the records from  Volodins Bioacoustic Group Homepage

 http://www.bioacoustica.org/index_eng.html

http://www.bioacoustica.org/gallery/gallery_rus.html

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Giemsa-stained thin blood smear slides from 150 P. falciparum-infected and 50 healthy patients were collected and photographed at Chittagong Medical College Hospital, Bangladesh. The smartphone’s built-in camera acquired images of slides for each microscopic field of view.

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Mosquito bites result in the deaths of more than 1 million people every year.   Certain species of mosquitos like Aedes are the main vector of arboviruses that cause Dengue, Malaria and Yellow fever. Image based mosquito species classification can be helpful to implement strategies to prevent the spread of mosquito borne disease. Automated mosquito species classification can aid in laborious and time consuming task of entomologists besides enhancing accuracy.

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2713 Views

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