Image Processing
Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
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Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
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61 Views
Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
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70 Views
Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
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67 Views
Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
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66 Views
Digitalization of Microscopic Images of Polymers and Composite Materials from the Central Research Institute of Polymers and Artificial Leathers (SEM, TEM, optical plastolgraphy / polymerography).
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65 Views
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288 Views
The data contains both CST data and Experiment data which used at the paper:'Validation of a three-dimensional DBIM-TwIST algorithm for microwave tomography'.
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This is a new image-based handwritten historical digit dataset named ARDIS (Arkiv Digital Sweden). The images in ARDIS dataset are extracted from 15.000 Swedish church records which were written by different priests with various handwriting styles in the nineteenth and twentieth centuries. The constructed dataset consists of three single digit datasets and one digit strings dataset. The digit strings dataset includes 10.000 samples in Red-Green-Blue (RGB) color space, whereas, the other datasets contain 7.600 single digit images in different color spaces.
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The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj.
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