| Datasets | File | Description | Download |
|---|---|---|---|
 
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Medical Staff People Tracking | A set of formatted clinical documents as dictated by the physicians to train medical AI models. | View Detail |
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Roads Segmentation Dataset | A "roads segmentation dataset" typically consists of images or aerial photographs that have been annotated to highlight and classify road areas within the images. This dataset is commonly used in computer vision and machine learning tasks, particularly for training and evaluating algorithms related to road detection and segmentation. The annotations in such a dataset provide pixel-level or object-level labels to distinguish road areas from other elements in the images, making it valuable for applications like autonomous driving, urban planning, and map generation. Researchers and developers use roads segmentation datasets to train models to identify and segment roads accurately from various types of imagery. | View Detail |
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Brain tumors 256x256 | A "radiology" use case in the context of 256x256 refers to the application of medical imaging techniques, particularly the use of high-resolution 256x256 pixel images, for diagnosing and studying brain tumors. These images are instrumental in visualizing and assessing the size, location, and characteristics of brain tumors, aiding in diagnosis and treatment planning. | View Detail |
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Fatalities in the Israeli-Palestinian | The Israeli-Palestinian conflict is a protracted and intricate dispute characterized by fatalities stemming from various causes, including military clashes, bombings, and other violent incidents. | View Detail |
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