3 datasets found
  1. h

    Overseas Military Bases

    • datahub.hku.hk
    pdf
    Updated Aug 15, 2022
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    Chun Yin Man; David Alexander Palmer (2022). Overseas Military Bases [Dataset]. http://doi.org/10.25442/hku.20438805.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    HKU Data Repository
    Authors
    Chun Yin Man; David Alexander Palmer
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Description This dataset contains both tabular and geospatial data of eight great powers' overseas military bases, including China, the United States, the United Kingdoms, Russia, Japan, India, the United Arab Emirates, and France up until November 2020. An interactive view of this dataset: Link Source All data were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193

  2. Indian Forts

    • kaggle.com
    Updated Feb 27, 2024
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    AYUSH KHAIRE (2024). Indian Forts [Dataset]. http://doi.org/10.34740/kaggle/dsv/7714663
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    AYUSH KHAIRE
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    India
    Description

    India boasts a rich and diverse cultural heritage, evident in its majestic forts spread across the length and breadth of the country. From the rugged hills of Rajasthan to the lush forests of Karnataka, these formidable structures stand as silent witnesses to centuries of history, conquests, and architectural marvels.

    The "Indian Forts Dataset" offers a comprehensive collection of information about some of the most iconic forts in India. This dataset provides details on the historical significance, architectural features, geographical locations, ownership, and accessibility of each fort. Additionally, it includes a curated selection of images capturing the grandeur and beauty of these ancient fortresses.

    Researchers, historians, architects, and enthusiasts alike will find this dataset invaluable for studying India's military history, understanding architectural evolution, and exploring the cultural diversity of the Indian subcontinent.

  3. R

    Human Gesture For Surveillance Dataset

    • universe.roboflow.com
    zip
    Updated Feb 16, 2023
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    Indian Institute of Technology Madras (2023). Human Gesture For Surveillance Dataset [Dataset]. https://universe.roboflow.com/indian-institute-of-technology-madras-9u7qu/human-gesture-for-surveillance
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    zipAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset authored and provided by
    Indian Institute of Technology Madras
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Human Gesture Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Security and Surveillance: Utilize the "human gesture for surveillance" model to analyze live video feeds from security cameras and detect suspicious gestures (e.g. walking_with_weapon or crawling_with_weapon) in critical or high-security areas, immediately alerting law enforcement for rapid response.

    2. Military and Defense: Integrate the model into military surveillance systems to monitor border areas or conflict zones for potential threats and effectively distinguish between hostile and non-hostile actions, enabling prompt action to protect personnel and assets.

    3. Public Event Monitoring: Use the model to evaluate crowd behavior during large public events, such as concerts or sports matches, identifying any potentially dangerous gestures or individuals and notifying security personnel to prevent possible incidents.

    4. Airport Security: Implement the model in airport security systems to identify suspicious behaviors (e.g. creeping, crouching_with_weapon) in passengers within terminals, ensuring swift intervention from security forces and minimizing risk to other travelers.

    5. Smart Traffic Management: Apply the model to analyze the behavior of cyclists, motorbike riders, and pedestrians in urban settings, allowing for adjustments to traffic signals or road infrastructure to enhance safety and efficiency for all road users.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Chun Yin Man; David Alexander Palmer (2022). Overseas Military Bases [Dataset]. http://doi.org/10.25442/hku.20438805.v1

Overseas Military Bases

Explore at:
pdfAvailable download formats
Dataset updated
Aug 15, 2022
Dataset provided by
HKU Data Repository
Authors
Chun Yin Man; David Alexander Palmer
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Description

Description This dataset contains both tabular and geospatial data of eight great powers' overseas military bases, including China, the United States, the United Kingdoms, Russia, Japan, India, the United Arab Emirates, and France up until November 2020. An interactive view of this dataset: Link Source All data were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193

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