3 datasets found
  1. R

    Fn Dataset

    • universe.roboflow.com
    zip
    Updated Dec 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    a (2024). Fn Dataset [Dataset]. https://universe.roboflow.com/a-sddt1/fn-kuyyh/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    a
    License

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

    Variables measured
    Players Bounding Boxes
    Description

    Fn

    ## Overview
    
    Fn is a dataset for object detection tasks - it contains Players annotations for 9,823 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  2. R

    Ai Aim Dataset

    • universe.roboflow.com
    zip
    Updated Nov 17, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    fn (2024). Ai Aim Dataset [Dataset]. https://universe.roboflow.com/fn-80ivc/ai-aim-w0vkk/model/3
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 17, 2024
    Dataset authored and provided by
    fn
    License

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

    Variables measured
    Fn Players Bounding Boxes
    Description

    Ai Aim

    ## Overview
    
    Ai Aim is a dataset for object detection tasks - it contains Fn Players annotations for 904 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  3. f

    FN average amplitude.

    • plos.figshare.com
    • figshare.com
    xlsx
    Updated Jul 24, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mengyue Zhang; Chenyue Zhao; Ziyu Mao; Meng Zhang; Xiaoli Xing (2024). FN average amplitude. [Dataset]. http://doi.org/10.1371/journal.pone.0307717.s005
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Mengyue Zhang; Chenyue Zhao; Ziyu Mao; Meng Zhang; Xiaoli Xing
    License

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

    Description

    An imbalance in sensitivity to different types of reward stimuli may be an important cause of addiction that is mainly manifested in high sensitivity to addictive substance rewards and blunting of natural rewards. However, contradictions remain in the research results on the sensitivity of individuals with Internet gaming disorder (IGD) to different reward stimuli. Based on participants’ neural responses to win and loss feedback (in door task), the event-related potential (ERP) technique was used to investigate the effects of different types of reward stimuli on the assessment of reward-processing outcomes in individuals with IGD. The results showed that in the gain condition, the FB-P3 amplitude induced by game stimuli in the IGD group was significantly higher than that in the control group, and the FN amplitude induced by money stimuli was significantly lower than that in the control group. However, the FB-P3 and FN amplitudes induced by food were not significantly different from those in the control group. In the loss condition, there were no between-group differences in the FB-P3 and FN amplitudes evoked by the three reward stimuli. This indicates that the IGD group showed increased hedonic responses to game stimuli and decreased hedonic responses to money but no differences in hedonic responses to food during the reward assessment phase. Therefore, heightened sensitivity to game rewards and diminished sensitivity to monetary rewards during outcome assessment may play a crucial role in the development of IGD.

  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
a (2024). Fn Dataset [Dataset]. https://universe.roboflow.com/a-sddt1/fn-kuyyh/model/1

Fn Dataset

fn-kuyyh

fn-dataset

Explore at:
zipAvailable download formats
Dataset updated
Dec 9, 2024
Dataset authored and provided by
a
License

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

Variables measured
Players Bounding Boxes
Description

Fn

## Overview

Fn is a dataset for object detection tasks - it contains Players annotations for 9,823 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Search
Clear search
Close search
Google apps
Main menu