Machine Learning
This Dataset is related to the data prices of the cryptocurrency "Ethereum" over four years, from 01/01/2018 to 11/22/2022. Also, the new dataset created by the predictions of the intelligent filtered LSTM model is included.
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610 Views
This paper presents a digital image dataset of historical handwritten birth records stored in the archives of several parishes
across Sweden, together with the corresponding metadata that supports the evaluation of document analysis algorithms’
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106 Views
This dataset is the outcome of an observation on Hyssop germination under Lead (Pb) tension and Gixberlin Acid based hormonal priming. Pb tension levels are 0, 25, 50,75, and 100 mg/L, respectively in this study. Gixberlin acid priming is done under 0, 50,100, 150, and 200 mg/L and each scenario is repeated four times during this study. Mean Germination Time (MGT), Root Length( RL) and Shoot Length (SL) have been measured. Moreover, different enzyme levels including superoxide dismutase, catalase, ascorbate peroxidase, and Guaiacol Peroxidase.
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129 Views
The greenhouse remote sensing image dataset we produced contains 2101 tiles and 23914 greenhouses. And in the data set, 37.9% of dense scenes were added, so that the model trained through this data set could better adapt to the dense scene detection task.
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533 Views
The Paddy Doctor dataset contains 16,225 labeled paddy leaf images across 13 classes (12 different paddy diseases and healthy leaves). It is the largest expert-annotated visual image dataset to experiment with and benchmark computer vision algorithms. The paddy leaf images were collected from real paddy fields using a high-resolution (1,080 x 1,440 pixels) smartphone camera. The collected images were carefully cleaned and annotated with the help of an agronomist.
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10876 Views
The Research Paper "Detection of Bicep Form Using Myoware and Machine Learning" based on the novel dataset has been recently accepted in September 2022 and is being published in SCOPUS Indexed SPRINGER Book Series “Lecture Notes in Networks and Systems”
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1305 Views
Recently, unmanned aerial vehicles (UAVs) have been receiving significant attention due to the wide range of potential application areas. To support UAV use cases with beyond visual line of sight (BVLOS) and autonomous flights, cellular networks can provide connectivity points to UAVs and provide remote control and payload communications. However, there are limited datasets to study the coverage of cellular technologies for UAV flights at different altitudes.
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803 Views
The problem of effective disposal of the trash generated by people has rightfully attracted major interest from various sections of society in recent times. Recently, deep learning solutions have been proposed to design automated mechanisms to segregate waste. However, most datasets used for this purpose are not adequate. In this paper, we introduce a new dataset, TrashBox, containing 17,785 images across seven different classes, including medical and e-waste classes which are not included in any other existing dataset.
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976 Views
Guava fruit production is one of the main sources of economic growth in Asian countries, the world production of guava in 2019 was 55 million tons. Guava disease is an important factor in economic loss as well as quantity and quality of guava. The original guava fruit disease dataset consist of 38 images of phytophthora, 30 images of root and 34 images of scab guava disease with 650x650x3 pixel.
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1155 Views
A synthetic laser reliability dataset generated using generative adversarial networks (GANs) is provided. The data includes normalized current measurements estimated at the following times: 2, 20, 40, 60, 80, 100, 150, 500, 1000, and 1500 hours. The data can be used to train machine learning models to solve different predictive maintenance tasks such as prediction of performance degradation, remainng useful prediction, and so on.
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117 Views