The dataset contains maps with the objective analysis (OA) fields of available water contents.  OA is based on ground-base and remote sensing (ASCAT) observations in the upper 10 and 20 cm soil layers for the period from September 11 to November 16, 2022. 

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It presents bigest Assamese Isolated handwritten numeral dataset that is consist of   35106 numerals samples in grayscale format of uniform size 28x28. The contributors arestudents and Academic professionals.

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This dataset consists of 1878 labeled images of flowers from blackberry trees from the specie Rubus L. subgenus Rubus Watson. These are white flowers with five petals that blossom in the spring through summer. The images were collected using an Intel RealSense D435i camera inside a greenhouse.

This images were inicially collected to support a robotic autonomous pollination project.

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The Femoropopliteal Artery Stent Dataset is captured by Siemens digital radiography fluoroscopy system Luminos dRF Max. The dataset is from the First Affiliated Hospital of Fujian Medical University in Fuzhou City (Fujian Province, China). The X-ray fluoroscopic image data set of the femoropopliteal artery stent was obtained from different positions of the patient.

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This publication contains three new datasets for scene-level sketch semantic segmentation task, namely SKY-Scene, TUB-Scene, and Freehand-Scene. SKY-Scene and TUB-Scene are synthetic datasets, where the scene layout templates were extracted from dataset SketchyScene, and the object components were adopted from dataset Sketchy. They are composed to include more sketch-specific characteristics, e.g., sparsity, abstractness, and diversity, to truly evaluate segmentation performance. Freehand-Scene are fifty real human-drawn scene sketches for practical test.

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Fifty human-drawn scene sketches with semantic annotation.

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A synthetic scene-level sketch dataset for sketch semantic segmentation task. The scene layout templates were extracted from dataset SketchyScene, and the object components were adopted from dataset TU-Berlin.

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A synthetic scene-level sketch dataset for sketch semantic segmentation task. The scene layout templates were extracted from dataset SketchyScene, and the object components were adopted from dataset Sketchy.

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该舌头图像数据集包含 300 张舌头图像。数据集中所有图像均由我们的图像采集设备采集,图像尺寸为576*768。手动分割被用作基本事实。

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The Lung Image Database Consortium image collection (LIDC-IDRI) consists of diagnostic and lung cancer screening thoracic computed tomography (CT) scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis.

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