Music - pop - britpop
Start training or fine-tuning your generative AI and music classification models with 15 tracks in the pop - britpop genre. This dataset is perfect if you are looking for high quality music data, licensed for AI training - whether that's music generation, genre recognition or classification, or other music-related use cases.
Start training or fine-tuning your generative AI and music classification models with 15 tracks in the pop - britpop genre. This dataset is perfect if you are looking for high quality music data, licensed for AI training - whether that's music generation, genre recognition or classification, or other music-related use cases.
Start training or fine-tuning your generative AI and music classification models with 15 tracks in the pop - britpop genre. This dataset is perfect if you are looking for high quality music data, licensed for AI training - whether that's music generation, genre recognition or classification, or other music-related use cases.
Start training or fine-tuning your generative AI and music classification models with 15 tracks in the pop - britpop genre. This dataset is perfect if you are looking for high quality music data, licensed for AI training - whether that's music generation, genre recognition or classification, or other music-related use cases.
Dataset specs
Type
Audio
Sound quality
44.1kHz, ≥32 bit per channel
Region/Locale
NO, EL, NE, la, si-lk, brx-in, nl-NL, tl-PH, or-in, et-ee, haz-af, ca-es, gjr-in, ro-ro, tcy-in, bto-ph, qaz-ir, eu-es, haw-us, he-IL, nb-NO, ml-in, ZH, zh-CN, en-AU, dhd-in, wuu-cn, mni-in, gl-es, ahr-in, pt-PT, af-za, hu-hu, fi-fi, gon-in, bn-IN, LV, ar-LAV, ar-SD, KO, MS, AR, pa-IN, ta-IN, te-IN, es-ES, it-IT, en-GB, fr-MX, de-DE, en-US, en-IN, fr-FR, TH, HE, SO, ZU, TL, SR, EN, DA, VI, mr-IN, hi-IN, ID, pl-PL, kn-IN, FA, UR, fr-CA, TR, YUE, es-MX, CZ, es-AR, JA, sv-SE, DE, RU, FR, pt-BR, es-VE, ar-MA, ar-LB, hi-US, fr-MA, ar-TN, es-US, ar-JO, ar-JS, ar-IQ, ar-YE, ar-DZ, ar-AR, de-US, ar-EG, ja-JP, ar-SA, ar-AE, es-BO, ar-TR, ja-US, es-PE, ar-Kw, es-EC, es-LA, es-CO, es-CL, fr-US, en-CA, ko-KR, da-DK, ru-RU, nl-BE, cs-CZ, vi-VN, gu-IN, ar-MSA, fa-IR, en-IE, is-is, sk-sk, lt-lt, uk-ua, rmn-ro, cy-gb, kxu-in, sgs-lt, la-latn
Amount
15
Leverage
Perfect for building recommendation algorithms that suggest tracks based on user preferences, using metadata such as primary and secondary keywords, genres, moods, and "soundlike" references.
Use cases
Develop models to identify and classify the instruments used in a track, utilizing the detailed metadata about the instruments in each track.
Develop search engines that allow users to find music based on complex queries involving multiple attributes like mood, genre, tempo, and instrumentation.
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Dataset specs
Type
Audio
Sound quality
44.1kHz, ≥32 bit per channel
Region/Locale
NO, EL, NE, la, si-lk, brx-in, nl-NL, tl-PH, or-in, et-ee, haz-af, ca-es, gjr-in, ro-ro, tcy-in, bto-ph, qaz-ir, eu-es, haw-us, he-IL, nb-NO, ml-in, ZH, zh-CN, en-AU, dhd-in, wuu-cn, mni-in, gl-es, ahr-in, pt-PT, af-za, hu-hu, fi-fi, gon-in, bn-IN, LV, ar-LAV, ar-SD, KO, MS, AR, pa-IN, ta-IN, te-IN, es-ES, it-IT, en-GB, fr-MX, de-DE, en-US, en-IN, fr-FR, TH, HE, SO, ZU, TL, SR, EN, DA, VI, mr-IN, hi-IN, ID, pl-PL, kn-IN, FA, UR, fr-CA, TR, YUE, es-MX, CZ, es-AR, JA, sv-SE, DE, RU, FR, pt-BR, es-VE, ar-MA, ar-LB, hi-US, fr-MA, ar-TN, es-US, ar-JO, ar-JS, ar-IQ, ar-YE, ar-DZ, ar-AR, de-US, ar-EG, ja-JP, ar-SA, ar-AE, es-BO, ar-TR, ja-US, es-PE, ar-Kw, es-EC, es-LA, es-CO, es-CL, fr-US, en-CA, ko-KR, da-DK, ru-RU, nl-BE, cs-CZ, vi-VN, gu-IN, ar-MSA, fa-IR, en-IE, is-is, sk-sk, lt-lt, uk-ua, rmn-ro, cy-gb, kxu-in, sgs-lt, la-latn
Amount
15