Image Processing
Millions of people suffer from diabetic retinopathy, the leading cause of blindness among working aged adults. For clinical datasets, i have conducted the pilot study at SRM Medical College Hospital and Research Centre, Chennai for diabetic patients. Then we collected the retinal images from patients for further evaluation, All images were graded by experienced ophthalmologist for model training and testing purpose.
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AHT2D dataset is composed of Handwritten Arabic letters with diacritics. In this dataset, we have 28 letter classes according to the number of Arabic letters. Each class contains a multiple letter form. We have different letter images from different sources such as the internet, our writers, etc. The AHT2D dataset includes only isolated letters. In addition, this dataset contains different writing styles, orientations, colors, thicknesses, sizes, and backgrounds, which makes it a very large and rich dataset.
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This is the largest database of hyperspectral face images containing hyperspectral image cubes of 78 subjects imaged in multiple sessions. The data was captured with the CRI's VariSpec LCTF (Liquid Crystal Tunable Filter) integrated with a Photon Focus machine vision camera. There are 33 spectral bands comering the 400 - 720nm range with a 10nm step. The noise level in the dataset is relatively lower because we adapted the camera exposure time to the transmittance of the filter illumination intensity as well as CCD sensitivity in each band.
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The femur dataset is our internal dataset, which
was collected from the clinical data of the Affiliated Hospital
of Capital Medical University, including 41 knee joint CT
scans, with a total of 7121 axial enhanced knee joint clinical
CT images. The dataset is shown in Fig. 5, which can be
downloaded in our github.
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Grasp intention recognition is a vital problem for controlling assistive robots to help the elderly and infirm people restore arm and hand function. This dataset contains gaze data and scene image data of healthy individuals and hemiplegic patients while performing different grasping tasks. It can be used for gaze-based grasp intention recognition studies.
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Layout planning is centrally important in the field of architecture and urban design. Among the various basic units carrying urban functions, residential community plays a vital part for supporting human life. Therefore, the layout planning of residential community has always been of concern, and has attracted particular attention since the advent of deep learning that facilitates the automated layout generation and spatial pattern recognition.
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Identification of changes in pig behavior or interaction such as playing, sniffing, chewing, lying, or aggression is important for taking the necessary action if needed. Manual identification of pig behavior by human observers is not possible because it requires continuous monitoring. It is, therefore, essential to develop an automated method that quantifies pig behavior.
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Photo identification (photoID) is a non-invasive technique devoted to the identification of individual animals using photos, and it is based on the hypothesis that each specimen has unique features useful for its recognition. This technique is particularly suitable to study highly mobile and hard to detect marine species, such as cetaceans. These animals play a key role in marine biodiversity conservation because they maintain the stability and health of marine ecosystems due to their apical role as top predators in food webs.
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