Artificial Intelligence

The 2020 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) and the Technical University of Munich, aims to promote research in large-scale land cover mapping based on weakly supervised learning from globally available multimodal satellite data. The task is to train a machine learning model for global land cover mapping based on weakly annotated samples.

Last Updated On: 
Mon, 01/25/2021 - 09:03

A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.

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8730 Views

Addtional datasets for the jounal paper subimitted to IEEE Transactions on Computational Imaging, including self-captured light field microscopy datasets with lab-assembled LF microscope.

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536 Views

An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

 This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

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1903 Views

An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

 This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

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482 Views

An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

 This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

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3899 Views

test

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69 Views

This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.

https://github.com/epicprojects/blockchain-anomaly-detection

 

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bitcoin_hacks_2010_2013.csv: Contains known hashes of bitcoin theft/malicious transactions from 2010-2013

malicious_tx_in.csv: Contains hashes of input transactions flowing into malicious transactions.

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4422 Views

Information:

 This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.

Research experiments for this dataset can be found at https://github.com/epicprojects/blockchain-anomaly-detection

 

 

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5898 Views

Information:

This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. 

https://github.com/epicprojects/blockchain-anomaly-detection

 

 

 

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3055 Views

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