Machine Learning
This dataset was created for Deformable Linear Objects(DLOs) segmentation and crossings classification under complex background.
RGB images, overlap maps, gradient maps are included for segmentation task. The quantity of DLOs range from one to three.
Upper and lower type of crossings are defined for classification task.
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The dataset contains short video clips of four shoulder exercises.
- Arm flexion and extension
- Arm abduction and adduction
- Arm lateral and medial rotation
- Arm circumduction
The videos are labeled as either correct or incorrect.
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491 Views
<p>This multilingual Twitter dataset spans over 2 years from October 2019 to the end of 2021, including 3 months before the outbreak of the COVID-19 pandemic.</p>
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316 Views
Multi-label event classification label of each sample-document is done with nine bits. The first bit signifies whether an event is present or absent with 1 or 0 respectively. The remaining eight bits signifies presence or absence of (i) covid, (ii) flood, (iii) storm, (iv) heavy rain, (v) cloudburst, (vi) landslide, (vii) earthquake, (viii) Tsunami with 1 or 0. The location and the impact sentence classification labeling are similar.
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44 Views
A synthetic data for low power (P ≤10 mW) InGaAsP MQW-DFB lasers operating at a wavelength (λ) ranging from 1.53 to 1.57 µm at a case temperature laying between -40 ℃ to 85 ℃ with side mode suppression ratio of more than 35 dB is generated and can be used for laser lifetime prediction using machine learning based approaches.
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160 Views
The dataset includes processed sequences of optical time domain reflectometry (OTDR) traces incorporating different types of fiber faults namely fiber cut, fiber eavesdropping (fiber tapping), dirty connector and bad splice. The dataset can be used for developping ML-based approaches for optical fiber fault detection, localization, idenification, and characterization.
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3113 Views
The disaster-news healline generation dataset (news_articles_and _titles) contains a set of disaster-news articles and their headlines/titles. This dataset may be used to develop a method to generate a good quality headline for a disaster-news article.
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28 Views
Ground reaction forces (GRFs) and center of pressure trajectories (CoPs) are required for a comprehensive biomechanical analysis. They are also important outcome measures in sports sciences or clinical areas. GRFs and CoPs are usually measured by force plate, which is rarely equipped on staircases in laboratories. We present a one-dimensional convolutional neural network for estimating GRFs and CoPs during stair ascent and descent using multi-level of kinematics as input.
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278 Views
suicidal ideation dataset extracted from reddit and twitter social media platform.
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51 Views
The data collection includes posts from social media networks popular among Russian-speaking people. The information was gathered using pre-defined keywords ("war," "special military operation," and so on) and is mainly relevant to Ukraine's continuing conflict with Russia. Following a thorough assessment and analysis of the data, propaganda and false news were detected. The information gathered has been anonymized. Feature engineering and text preparation can extract new insights and information from this data source.
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2347 Views