Mobile Phone Detection

## Overview

Mobile Phone Detection is a dataset for object detection tasks - it contains Cell Phone Detection annotations for 198 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Global mobile data usage was estimated at over ******* petabytes in 2022, with forecasts placing 2027 usage at over ******* petabytes. Mobile handsets accounted for the majority of data use in 2022, followed by cellular internet of things (IoT) devices.

Do you know?

Do you know how much time you spend on an app? Do you know the total use time of a day or average use time of an app?

What it consists of?

This data set consists of - how many times a person unlocks his phone. - how much time he spends on every app on every day. - how much time he spends on his phone.

It lists the usage time of apps for each day.

What we can do?

Use the test data to find the Total Minutes that we can use the given app in a day. we can get a clear stats of apps usage. This data set will show you about the persons sleeping behavior as well as what app he spends most of his time. with this we can improve the productivity of the person.

The dataset was collected from the app usage app.

Use Of Mobile Phone

## Overview

Use Of Mobile Phone is a dataset for object detection tasks - it contains Mobile Phone Worker annotations for 371 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).

Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_5fb7ffda1ffd756151b1650d4c64363c/view

In 2022, the average data used per smartphone per month worldwide amounted to ** gigabytes (GB). The source forecasts that this will increase almost four times reaching ** GB per smartphone per month globally in 2028.

This Dataset is instrumental if you are working on a machine-learning project where you are working in which you need information about smartphones, and feature phone available in the Indian market. This Dataset is having 5 columns -> model name, price, ratings, reviews, and specifications. Do not confuse it with the duplicated values in the name and the price columns, because in the model name, there are the same phones available with different color options Google pixel 6pro is available in 2-3 color options but the price was the same. So your domain knowledge and how better you do the feature engineering over this dataset is dependent. The price is in the Indian rupee you can convert it according to your use case. Now I Updated the dataset and added a new version of the dataset after some Preprocessing (Updated_Mobile_Dataset.csv) In which the new version does not contain any null values added the company column in the new version and also separated the Rom and Ram columns. The shape of the newly updated data set is (28036, 8) The objective here is to forecast the price of mobile phones. Please upvote if you find the dataset useful.

We will create a customized phones dataset tailored to your specific requirements. Data points may include brand names, model specifications, pricing information, release dates, market availability, feature sets, and other relevant metrics.

Utilize our phones datasets for a variety of applications to boost strategic planning and market analysis. Analyzing these datasets can help organizations grasp consumer preferences and technological trends within the mobile phone industry, allowing for more precise product development and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: enhancing competitive benchmarking, identifying pricing trends, and optimizing product portfolios.

Mobile Usage Detection

## Overview

Mobile Usage Detection is a dataset for object detection tasks - it contains Mobiles annotations for 497 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).

Forecast: Mobile Data Usage per Smartphone Subscriber in the US 2022 - 2026 Discover more data with ReportLinker!

Phone Usage

## Overview

Phone Usage is a dataset for object detection tasks - it contains Phone annotations for 283 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).

Forecast: Mobile Data Usage Per Mobile Broadband Subscription in the US 2024 - 2028 Discover more data with ReportLinker!

North America registered the highest mobile data consumption per connection in 2023, with the average connection consuming ** gigabytes per month. This figure is set to triple by 2030, driven by the adoption of data intensive activities such as 4K streaming.

During the study period

Usage Of Phone

## Overview

Usage Of Phone is a dataset for object detection tasks - it contains Phone VdxA annotations for 362 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).

This dataset provides detailed, time-segmented records of mobile data, call, and SMS usage for telecom customers, including network type, device, and location context. It enables in-depth analysis of user consumption patterns, peak usage periods, and regional trends, supporting telecom plan optimization, network planning, and customer segmentation.

This data is collected by me by asking people about various factors that will help to predict mobile usage.

I will try to upload a new and extended version as soon as possible.

feel free to use this dataset in your projects I will be glad

Percentage of smartphone users by selected smartphone use habits in a typical day.

Dataset Overview: A collection of features characterizing mobile phones, including battery power, camera specifications, network support, memory, screen dimensions, and other attributes. The 'price_range' column categorizes phones into price ranges, making this dataset suitable for mobile phone classification and price prediction tasks.

Forecast: Average per Capita Monthly Mobile Data Use in India 2024 - 2028 Discover more data with ReportLinker!