Machine Learning
Opportunity++ is a precisely annotated dataset designed to support AI and machine learning research focused on the multimodal perception and learning of human activities (e.g. short actions, gestures, modes of locomotion, higher-level behavior).
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1891 Views
The 5K EPP Dataset includes 5007 photos of water crystaks classified in 13 categories. This dataset was created under the leaderhip of Prof. Masaru Emoto.
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302 Views
Human intention is an internal, mental characterization for acquiring desired information. From
interactive interfaces, containing either textual or graphical information, intention to perceive desired
information is subjective and strongly connected with eye gaze. In this work, we determine such intention by
analyzing real-time eye gaze data with a low-cost regular webcam. We extracted unique features (e.g.,
Fixation Count, Eye Movement Ratio) from the eye gaze data of 31 participants to generate the dataset
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633 Views
Dementia classification from Magnetic Resonance Images by Machine Learning
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427 Views
Our datasets_PAGML isbased on two public benchmark datasets SHREC2013 and SHREC2014. Sketches are the same as the original datasets. Each 3D shape in the the original datasets is represented as 12 views.
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168 Views
This dataset is the supplementary material of an IEEE RAL paper named "Design of Fully Controllable and Continuous Programmable Surface Based on Machine Learning". It includes the z-displacement data derived from the FEA simulation, voltage input data derived from Matlab, and dataset for inverse application. The detailed description can be found in that paper.
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124 Views
This dataset is composed by both real and sythetic images of power transmission lines, which can be fed to deep neural networks training and applied to line's inspection task. The images are divided into three distinct classes, representing power lines with different geometric properties. The real world acquired images were labeled as "circuito_real" (real circuit), while the synthetic ones were identified as "circuito_simples" (simple circuit) or "circuito_duplo" (double circuit). There are 348 total images for each class, 232 inteded for training and 116 aimed for validation/testing.
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3367 Views
The data has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh and approved by a doctor.
This dataset is available in UCI Machine Learning Repository.
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4888 Views
The data was collected and represents the historical data of 6 currency pairs measured in 4-hour intervals: 4 major pairs such as GBP/USD, EUR/USD, USD/CHF, USD/JPY and 2 minor pairs such as EUR/GBP and GBP/JPY.
The data set covers the period from 01-2000 to 07-2020
Three files exists: the sequence dataset, the label dataset, and the legenda.
The legenda reports the follwoing information:
BBSignal, BBBreakoutSignal, LabelStrategy: SIGNAL_NONE=0 SIGNAL_BUY=1 SIGNAL_SELL=2 BarType and HAType: BAR_NONE=0 BAR_BULL=1
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947 Views
this is a test
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320 Views