ML/ DL Data | 10 M POI Measurements of Urban Venues | 35 B + Data Points | 100% Traceable Consent product image in hero

ML/ DL Data | 10 M POI Measurements of Urban Venues | 35 B + Data Points | 100% Traceable Consent

Silencio Network
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START_UTC_TIMESTAMP
END_UTC_TIMESTAMP
MIN_DB_VALUE
MAX_DB_VALUE
AVG_DB_VALUE
CONVERSATION
OCCUPANCE
PLACE
VENUE_QA
DEVICE_TYPE
xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx
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Volume
10M
hours
Avail. Formats
.json, .xml, and .csv
File
Coverage
250
Countries
History
2
years

Data Dictionary

[Sample] Point Of Interest Sample (2)
Attribute Type Example Mapping
START_UTC_TIMESTAMP
String 1743617417546
END_UTC_TIMESTAMP
String 1743617438990
MIN_DB_VALUE
Float 63.60825348
MAX_DB_VALUE
Float 73.12963104
AVG_DB_VALUE
Float 66.85712992
String Paris Baguette POI Name
String commercial POI Category
String food_and_drink POI Sub-category
CONVERSATION
String moderate
OCCUPANCE
String medium
PLACE
String outside
String {"placeId":"519104e10a287e52c0599ad9b743c3654440f00103f90... POI ID
VENUE_QA
String {"conversation":"moderate","occupance":"medium","place":"...
DEVICE_TYPE
String android
String United States Country Name
String New York State Name
String New York City Name
Integer 10025 Postal Code
Float 40.7950215 Latitude
Float -73.971194 Longitude
Product Attributes
Attribute Type Example Mapping
ad_id (hashed)
String "********..."
utc_timestamp
Integer 1588236832
horizontal_accuracy
Float 5
id_type
String "aaid"
ip_address (hashed)
String "********..."
longitude
Float -122.416601
latitude
Float 37.776801
dbvalue
Float 45.6
iso_country_code
String "us"

Description

Silencio provides the world’s largest real-world street and venue noise-level dataset, combining over 35 billion datapoints with AI-powered interpolation. Fully anonymized, user-consented, and ready for AI training, urban analysis, and mobility insights. Available in raw format.
Connect with our experts for Street and Venue Noise-Level Data. Unlock unique insights into the real-world acoustic environment of cities and venues across 180+ countries. Silencio has built the world’s largest database on noise levels, statistically interpolated using over 35 billion datapoints, developed in collaboration with leading acoustics professionals. Unlike traditional models that rely solely on computed estimations, our dataset uniquely combines real-world measurements with AI-driven predictions to deliver the most accurate and reliable noise-level data available today. Maximize AI Performance with the World’s Largest Real-World Noise-Level Dataset What sets our dataset apart? Silencio’s Street and Venue Noise-Level Data is the world’s largest and most accurate collection of real-world acoustic data, combining over 35 billion datapoints with AI-driven interpolation, developed together with professional acousticians. Unlike synthetic models, our dataset integrates real measurements and AI predictions to provide unparalleled ground truth for AI training. Designed for AI Applications: Empower your AI models with high-quality, diverse, and realistic acoustic data. Ideal for training AI in sound recognition, noise mapping, autonomous systems, smart cities, mobility intelligence, and beyond. Reliable & Compliant: Collected through our mobile app with explicit user consent, fully anonymized, and fully GDPR-compliant, ensuring ethical sourcing and regulatory alignment. Historical & Real-Time: Train models using both historical and continuously updated data to improve accuracy and robustness over time and across regions. Granular & Customizable: Globally available, highly granular, and adaptable to your AI pipeline needs — from raw acoustic datapoints to aggregated sound profiles. Simple Integration: Delivered via CSV exports or S3 bucket delivery (APIs coming soon), allowing smooth integration into your existing AI training workflows.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

2 years of historical data

Volume

10 million hours
10 million POI measurements
1 million different sensors
20 attributes

Pricing

10% discount if you buy via Datarade
Revenue share is available at 20%
Silencio Network has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
Email
S3 Bucket
Frequency
weekly
monthly
quarterly
yearly
Format
.json
.xml
.csv
.xls

Use Cases

Categories

Related Products

Frequently asked questions

What is ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent?

Silencio provides the world’s largest real-world street and venue noise-level dataset, combining over 35 billion datapoints with AI-powered interpolation. Fully anonymized, user-consented, and ready for AI training, urban analysis, and mobility insights. Available in raw format.

What is ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent used for?

This product has 5 key use cases. Silencio Network recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Predictive Modeling, Generative AI, and LLM Training. Global businesses and organizations buy Point of Interest (POI) Data from Silencio Network to fuel their analytics and enrichment.

Who can use ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Point of Interest (POI) Data. Get in touch with Silencio Network to see what their data can do for your business and find out which integrations they provide.

How far back does the data in ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent go?

This product has 2 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.

Which countries does ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Silencio Network is headquartered in United States of America.

How much does ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent cost?

Pricing information for ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent is available by getting in contact with Silencio Network. Connect with Silencio Network to get a quote and arrange custom pricing models based on your data requirements.

How can I get ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent?

Businesses can buy Point of Interest (POI) Data from Silencio Network and get the data via Email and S3 Bucket. Depending on your data requirements and subscription budget, Silencio Network can deliver this product in .json, .xml, .csv, and .xls format.

What is the data quality of ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent?

You can compare and assess the data quality of Silencio Network using Datarade’s data marketplace.

What are similar products to ML/ DL Data 10 M POI Measurements of Urban Venues 35 B + Data Points 100% Traceable Consent?

This product has 3 related products. These alternatives include Audio ML/ DL Data 10 M Hours of Urban Noise Level Measurement CCPA, GDPR Compliant 35 B + Data Points 100% Traceable Consent, Factori AI & ML Training Data Point of Interest Data (POI) Global Machine Learning Data, and Machine Learning (ML) Data 800M+ B2B Profiles AI-Ready for Deep Learning (DL), NLP & LLM Training. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
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