Dataset · Hugging Face

schmittzhuattencent/SO-SELD

Name: SO-SELD
Creator: schmittzhuattencent
Keywords: size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:1807.00129, arxiv:2110.07124, arxiv:2111.08192, arxiv:2312.09034, arxiv:2403.11827, arxiv:2009.02792, region:us

DCASE 2024: Sound Event Localization and Detection (SELD) Evaluated in Real Spatial Sound Scenes Please visit the official webpage of the DCASE 2024 Challenge for details missing in this repo. As the baseline method for the SELD task, we use the SELDnet method studied in the following papers, with Multiple Activity-Coupled Cartesian Distance and Direction of Arrival (Multi-ACCDDOA) representation as the output format. Specifically for the microphone version of the dataset, we… See the full description on the dataset page: https://huggingface.co/datasets/schmittzhuattencent/SO-SELD.

View on Hugging FaceReport an issue

Author / organization	schmittzhuattencent
Downloads	834 (as reported by Hugging Face)
Likes	0
Created	15 June 2026
Last updated at source	16 June 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/3d74a405-b0fd-4ed4-abd5-400b2fea3811" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

834 now (-27 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from schmittzhuattencent

schmittzhuattencent/30Dataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.