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Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data)

Rightsify
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Request Data Sample
Volume
100K
Tracks
Avail. Formats
.json, .csv, and .xls
File
Coverage
249
Countries

Description

The future pop dataset is a collection of audio songs with precise metadata such as chords, instrumentation, key, tempo, and timestamps. It is designed for machine learning applications such as generative AI music, Music Information Retrieval (MIR), and source separation.
The FuturePop dataset is a collection of audio files with precise metadata such as chords, instrumentation, key, tempo, and date. This dataset was selected primarily for machine learning applications such as generative AI music, Music Information Retrieval (MIR), and source separation. Future pop music is essentially an electronic-pop fusion genre that defies traditional boundaries. It features advanced synthesizers, experimental beats, and unorthodox structures, creating a distinct sound world. Our dataset captures the genre's innovative essence, allowing your models to grasp the intricacies and changing patterns in future pop music. By training your machine learning models with this dataset, you engage them in the distinct sounds that define the newest forms of musical expression, allowing for originality and pushing the bounds of innovation. Harness the power of future pop, propel your machine learning projects forward, and allow your AI systems to resonate with tomorrow's forward-thinking sounds.

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 (51)
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
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.)

Volume

10,000 Tracks
50,000 Tracks
100,000 Tracks

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License
$10,000 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
Frequency
monthly
quarterly
yearly
on-demand
Format
.json
.csv
.xls

Use Cases

Machine Learning
Artificial Intelligence
Generative AI
AI Music
Music Generation

Categories

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Frequently asked questions

What is Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data)?

The future pop dataset is a collection of audio songs with precise metadata such as chords, instrumentation, key, tempo, and timestamps. It is designed for machine learning applications such as generative AI music, Music Information Retrieval (MIR), and source separation.

What is Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data) used for?

This product has 5 key use cases. Rightsify recommends using the data for Machine Learning, Artificial Intelligence, Generative AI, AI Music, and Music Generation. Global businesses and organizations buy AI Training Data from Rightsify to fuel their analytics and enrichment.

Who can use Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data)?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for AI Training Data. Get in touch with Rightsify to see what their data can do for your business and find out which integrations they provide.

Which countries does Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data) cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Rightsify is headquartered in United States of America.

How much does Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data) cost?

Pricing for Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data) starts at USD10,000 per year. Connect with Rightsify to get a quote and arrange custom pricing models based on your data requirements.

How can I get Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data)?

Businesses can buy AI Training Data from Rightsify and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Rightsify can deliver this product in .json, .csv, and .xls format.

What is the data quality of Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data)?

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

What are similar products to Future Pop Dataset for AI-Generated Music (Machine Learning (ML) Data)?

This product has 3 related products. These alternatives include Acoustic Guitar Dataset for AI-Generated Music (Machine Learning (ML) Data), Factori AI & ML Training Data Point of Interest Data (POI) Global Machine Learning Data, and TagX - 5000+ Face Anti Spoofing Data Anti Spoofing Detection Face Recognition Fraud Detection KYC authentication Global coverage. You can compare the best AI Training Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$10,000 / year
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License
$10,000 / year
Usage-based Not available