Artificial Intelligence
This dataset contains semi-structural interviews designed to support the screening and assessment of major depressive disorder in China. These interviews were collected as part of a larger effort to create automatic AI tools that interview people and identify visual, acoustic, and textual indicators of MDD. Audio-visual recordings of interviews, extensive questionnaire responses are collected and have been transcribed and annotated for a variety of visual, acoustic, and textual features. The package includes 78 folders for each subject.
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Our data set has 5136 records collected in 214 days. The sampling rate of the sensors is 1 hour. Each record includes the number of vehicles entering and leaving the parking lot in an hour, the CO2 concentration of every building floor at the recording time, and the power consumption of each floor in an hour.
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448 Views
Currency recognition and classification is one essential task to do. Both paper and coin currency play important role in transactions in everyday life. But provided there are many datasets available of paper currency, and very less datasets are available of coin currency. Coin currency recognition becomes important because even though the amount for which people do coin transactions is small but inaccuracy in recognition can lead to huge loss. Following are the objectives to create this dataset:
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803 Views
Port scanning attack is popular method to map a remote network or identify operating systems and applications. It allows the attackers to discover and exploit the vulnerabilities in the network.
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1322 Views
Two electric vehicles were used in this study, namely the Renault Zoe Q210 2016 and the Renault Kangoo ZE 2018. The EVs were equipped with data loggers connected to the CAN bus recording data on the HV battery current, voltage, SoC, and instantaneous speeds. We also used a GPS logger mobile application to record GPS tracks and altitudes. Data were collected from six drivers (four men and two women) with varying levels of driving experience (from less than two months to more than 10 years) on a variety of roads and driving conditions for nearly 200 kilometers
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3913 Views
We conducted the experiments on seven different size instances for training and testing.
We used the notation |J| X |M| to denote that a DFJSP instance consists of |J| jobs and |M| machines.
Specifically, 10X10, 20X20, 30X30 are three static instances and four dynamic instances of various scales considering continuous arrival of jobs are set as 20X10, 30X15, 50X20, 100X20.
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113 Views
Autonomous detection of occluded humans in sparsely populated area
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68 Views
The data comes from the Qingdao Public Security Traffic Information Service Network, which provides the city's traffic index and is a comprehensive system. The traffic operation index is a comprehensive index for the theoretic evaluation of the overall operation of the road network. Compared with the traditional parameters such as vehicle speed and flow, it has the characteristics of being intuitive and simple.
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81 Views
This dataset contains job and their skills extracted from the job adverisments.
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2300 Views
This project investigates bias in automatic facial recognition (FR). Specifically, subjects are grouped into predefined subgroups based on gender, ethnicity, and age. We propose a novel image collection called Balanced Faces in the Wild (BFW), which is balanced across eight subgroups (i.e., 800 face images of 100 subjects, each with 25 face samples).
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1633 Views