
ML/ DL Data | 10 M POI Measurements of Urban Venues | 35 B + Data Points | 100% Traceable Consent
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 |
Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
Data Dictionary
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 |
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
Country Coverage
History
Volume
10 million | hours |
10 million | POI measurements |
1 million | different sensors |
20 | attributes |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
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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.