Mobile Phone Dataset | Smartphone & Feature Phone

Crowdsourced original images of a wide variety of mobile phones

About Dataset

This dataset is collected by* DataCluster Labs*, India. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 3000+ original Mobile Phone images captured and crowdsourced from over 1000+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at ****DC Labs.

Dataset Features 1. Dataset size : 3000+ 2. Captured by : Over 1000+ crowdsource contributors 3. Resolution : 99% images HD and above (1920x1080 and above) 4. Location : Captured with 600+ cities accross India 5. Diversity : Various lighting conditions like day, night, varied distances, view points etc. 6. Device used : Captured using mobile phones in 2020-2021 7. Applications : Mobile Phone detection, cracked screen detection, etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai

Visit www.datacluster.ai to know more.

English(India) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and in-car command, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers( 2,100 Indian native speakers), geographicly speaking, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Hindi(India) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(1,022 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

As of 2023, the average data consumption per user per month in India was at **** gigabytes. 4G data traffic contributes to ** percent of the overall data traffic while 5G was launched in India in October 2022. Increased online education, remote working for professionals and higher OTT viewership contributed to the data traffic growth.

English(India) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics. Transcribed with text content, timestamp, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers(390 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

This dataset contains details about 5G mobile phones available in the Indian market as of October 2023. The information was gathered via web scraping from Flipkart and is provided in a CSV file format. It encompasses key features such as titles, descriptions, ratings, and prices for a variety of mobile phones. The data collection process involved a Python web scraping script.

Columns

• TITLE: The name or title of the 5G mobile phone.
• DESCRIPTION: A brief outline of the mobile phone's features and specifications.
• RATING: User ratings or reviews provided by customers, potentially presented as stars (e.g., out of 5 stars) or another rating system used on Flipkart.
• PRICE: The cost of each mobile phone, likely in Indian Rupees (INR) or the currency used on Flipkart.

Distribution

The dataset is formatted as a CSV file. It contains 936 records (rows). The price column exhibits a range of values, indicating various pricing tiers for the mobile phones.

Usage

This dataset is highly valuable for a range of applications, particularly in Natural Language Processing (NLP) and classification tasks: * NLP Analysis: Use the titles and descriptions to conduct sentiment analysis, extract keywords, and model topics to uncover consumer preferences and trends regarding 5G mobile phones in India. * Classification: Apply classification algorithms to categorise mobile phones based on features, prices, or user ratings. This can aid in building recommendation systems or segmenting the market. * Market Insights: Analyse the data to understand the popularity of 5G mobile phones, identify emerging trends, and evaluate the impact of user ratings on sales and product perception. * Price Analysis: Monitor the pricing dynamics of 5G mobile phones in the Indian market, assisting consumers in making informed decisions and businesses in setting competitive pricing strategies.

Coverage

The dataset focuses on the Indian market and reflects data collected in October 2023. Its geographic scope is Asia, specifically India.

License

CC0

Who Can Use It

This dataset is ideal for researchers, data scientists, and analysts who wish to explore and utilise valuable information for various research and analysis purposes, including those listed under the 'Usage' section.

Dataset Name Suggestions

• Indian 5G Mobile Phones Flipkart Data
• Flipkart 5G Smartphone Market India
• October 2023 India Mobile Data
• Flipkart Mobile Phone Features Dataset

Attributes

Original Data Source: Flipkar_5G_Mobile_Phone_Exctracted_data

Dataset

This dataset was created by Maulik

Contents

Comprehensive dataset of 11,033 Mobile network operators in India as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

In 2023, India had over 1.2 billion internet users across the country. This figure was projected to grow to over 1.6 billion users by 2050, indicating a big market potential in internet services for the South Asian country. In fact, India was ranked as the second largest online market worldwide in 2022, second only to China. The number of internet users was estimated to increase in both urban as well as rural regions, indicating a dynamic growth in access to internet.

Mobile connectivity

Of the total internet users in the country, a majority of the people access the internet via their mobile phones. There were nearly the same amount of smartphone users as internet users across the country. Cheap availability of mobile data, a growing smartphone user base in the country along with the utility value of smartphones compared to desktops and tablets are some of the factors contributing to the mobile heavy internet access in India.

Growth is on the cards

Despite the large number of internet users in the country, the internet penetration levels took longer to catch up equally. At the same time, the number of women who have access to internet is much lower than men in the country, and the bias is even more evident in rural India. Similarly, internet usage is lower among older adults in the country due to internet literacy and technological know-how. By encouraging internet accessibility among marginalized groups including women, older people and rural inhabitants in the country, India’s digital footprint has significant headroom to grow.

About this Dataset

Indian pan card holder dataset with address. In this dataset you will get the following benefits and you can use this data to Increase your sells. Total number of dataset is 52k 1) name 2) pan card number 3) date of birth 14) total number of datset is 52k 4) phone number 5) residence address 6) office residence 8) area pin code 9) state 10) email id 11) husband/father name 12) gender 13) alternet phone number

Category

Lead Generation

Keywords

lead gen,lead,Email Leads,Lead Generation,independent

Row Count

52717

Price

$550.00

Key information about India Number of Subscriber Mobile

• India Number of Subscriber Mobile was reported at 1,140,000,000.000 Person in Dec 2022
• This records a decrease from the previous number of 1,150,000,000.000 Person for Dec 2021
• India Number of Subscriber Mobile data is updated yearly, averaging 881,839.000 Person from Dec 1960 to 2022, with 51 observations
• The data reached an all-time high of 1,180,000,000.000 Person in 2018 and a record low of 0.000 Person in 1994
• India Number of Subscriber Mobile data remains active status in CEIC and is reported by World Bank
• The data is categorized under World Trend Plus’s Association: Telecommunication Sector – Table IN.World Bank.WDI: Telecommunication

Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.;International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database;Sum;Please cite the International Telecommunication Union for third-party use of these data.

Analysis of ‘5G smartphones available in India ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ramjasmaurya/5g-smartphones-available-in-india on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Smartphones have become an integral part of our lifestyle. With the advancement in technology, smartphones are becoming smarter, faster, and more powerful with every new generation. There was a time when mobile phones were restricted to just receive or make phone calls. Fast forward it today and you will see that you can do virtually anything on a smartphone. You can book a ride, respond to emails, navigate to different places, click amazing photos, or just binge watch some favorite shows on different streaming applications. Smartphones are now available at every price point in the country whether it be the entry-level segment or the premium segment. So, if you are looking for the latest smartphones that are currently available in India, then this is the page you should follow.

--- Original source retains full ownership of the source dataset ---

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

India Mobile Banking Transactions: Volume data was reported at 17,117.198 Unit mn in Mar 2025. This records an increase from the previous number of 15,003.146 Unit mn for Feb 2025. India Mobile Banking Transactions: Volume data is updated monthly, averaging 245.260 Unit mn from Apr 2011 (Median) to Mar 2025, with 168 observations. The data reached an all-time high of 17,117.198 Unit mn in Mar 2025 and a record low of 1.080 Unit mn in Apr 2011. India Mobile Banking Transactions: Volume data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Monetary – Table IN.KAI017: Mobile Payments. [COVID-19-IMPACT]

Dataset of the first comprehensive and systematic analysis of 4,916 valid Statements of Working (Form 27) corresponding to 3,126 patents pertaining to mobile technology in India. Released under the Creative Commons-Attribution-Share Alike 4.0 (CC-BY-SA 4.0) License as a part of the Pervasive Technologies project at the Centre for Internet and Society, India.

For the detailed methodology used for this study, refer to Methodology: Statements of Working (Form 27) of Indian Mobile Device Patents.

For information on how to read this dataset, refer to the section "Detailed legend and process of logging the results" in the methodology.

A paper titled "Patent Working Requirements and Complex Products" authored by Prof. Jorge Contreras and Rohini Lakshané, first published in July 2017 presents an analysis of the dataset.

The patents chosen to be included in this dataset are a subset of the patents found in another study by the same authors, Patents and Mobile Devices in India: An Empirical Survey.

Data is provided AS-IS, without warranty as to accuracy or completeness.

All uses of the accompanying data and modifications and derivatives thereof must contain the following attribution: "Data provided by Jorge L. Contreras and Rohini Lakshané (2017)"

Hindi(India) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering economy, entertainment, news, informal language, numbers, alphabet and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(401 Indian recorded in quiet and noisy condition), geographicly speaking, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Indian Traffic Sign Image Dataset

Datasets for Indian traffic signs

About Dataset

**This dataset is collected by Datacluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: s*ales@datacluster.ai* **

This dataset is an extremely challenging set of over 2000+ original Indian Traffic Sign images captured and crowdsourced from over 400+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at DC Labs.

Dataset Features 1. Dataset size : 2000+ 2. Captured by : Over 400+ crowdsource contributors 3. Resolution : 100% of images HD and above (1920x1080 and above) 4. Location : Captured with 400+ cities accross India 5. Diversity : Various lighting conditions like day, night, varied distances, view points etc. 6. Device used : Captured using mobile phones in 2020-2021 7. Usage : Traffic sign detection, Self-driving systems, traffic detection, sign detection, etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.

Comprehensive dataset of 283,234 Cell phone stores in India as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Gujarati(India) Scripted Monologue Smartphone speech dataset, covers several domains, including chat, interactions, in-home, in-car, numbers and more, mirrors real-world interactions. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Comprehensive dataset of 219,342 Mobile phone repair shops in India as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.