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  • Others 
    A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

    A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

    This work introduces a handwritten Manipuri Meetei-Mayek character dataset which consists of more than 5000 data samples which were collected from a diverse population group that belongs to different age groups (from 4 years to 60 years), genders, educational backgrounds, occupations, communities from three different districts of Manipur, India (Imphal East District, Thoubal District and Kangpokpi District) during March and April 2019.

    Subjects:
    Computing
    Keywords:
    Optical pattern recognition
    Resource Type:
    Others
     
  • Others 
    SUFR-W (Subtasks of unconstrained face recognition)

    SUFR-W (Subtasks of unconstrained face recognition)

    This package contains: 1. SUFR-W, a dataset of “in the wild” natural images of faces gathered from the internet. The protocol used to create the dataset is described in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition 2. The full set of SUFR synthetic datasets, called the “Subtasks of Unconstrained Face Recognition Challenge” in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition

    Subjects:
    Computing
    Keywords:
    Human face recognition (Computer science) Optical pattern recognition
    Resource Type:
    Others
     
  • Others 
    Invariant Action Recognition Dataset

    Invariant Action Recognition Dataset

    A dataset of five actors performing five different actions (drink, eat, jump, run and walk) on a treadmill from five different views (0, 45, 90, 135, and 180 degrees from the front of the actor/treadmill; the treadmill rather than the camera was rotated in place to acquire from different viewpoints). The dataset was filmed on a fixed, constant background.

    Subjects:
    Computing
    Keywords:
    Motion perception (Vision) Computer vision Optical pattern recognition
    Resource Type:
    Others
     
  • Others 
    OER

    Deep Learning in GeoSpatial Artificial Intelligence

    Geospatial artificial intelligence sometimes referred to as geoAI is recently receiving so much attention. From large-scale projects to smaller projects. GeoAI can be referred to as using artificial intelligence with Geographical information system to analyse and produce solution-based predictions.

    Subjects:
    Computing and Land Surveying and Geo-Informatics
    Keywords:
    Geospatial data Geographic information systems Artificial intelligence
    Resource Type:
    Others
     
  • Others 
    Agile Software Development: It’s Implication for AI products and Developers

    Agile Software Development: It’s Implication for AI products and Developers

    Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.

    Subjects:
    Computing
    Keywords:
    Agile software development
    Resource Type:
    Others