karolpiczak/ESC-50 resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1859 stars · 326 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ESC-50 is a labeled dataset of 2000 five-second environmental audio recordings organized into 50 classes for benchmarking environmental sound classification. It includes prearranged cross-validation folds and clips sourced from Freesound.org field recordings.

Use cases

• benchmark environmental sound classification models
• train an audio classifier to recognize sounds like dogs barking or rain
• evaluate machine learning methods on environmental audio
• get a labeled dataset for audio classification research
• compare audio classification results with published baselines
• set up cross-validation folds for sound recognition experiments

When to choose

• you need a standard benchmark for environmental sound classification
• you want a small, manageable labeled audio dataset for research or teaching
• you need prearranged cross-validation folds for comparable results

When to avoid

• you need large-scale audio data beyond 2000 clips
• you require a permissive commercial-use license (it is CC BY-NC)
• you need speech or music classification data rather than environmental sounds

Facets

dataset · maturity stable

audio-processing machine-learning benchmarking machine-learning data-science cross-platform python environmental-sound-classification audio-dataset benchmark freesound audio-classification audio

Member repositories

For agents

markdown · JSON · MCP: product_card(name="karolpiczak/ESC-50")