ESC-50: 2,000 Labeled Environmental Audio Clips Across 50 Classes

Kaggle hosts the ESC-50 dataset, a collection of 2,000 labeled environmental sound recordings. The dataset is balanced across 50 distinct sound classes, making it suitable for classification tasks. The original author and specific collection methodology are not detailed in the provided metadata.

Use Cases

• Train audio classification models based on the 50 balanced environmental sound classes.
• Benchmark model performance on a standardized environmental sound dataset.
• Develop sound event detection systems based on labeled audio clips.
• Explore feature extraction techniques for environmental audio data.

Strengths

• Contains 2,000 labeled audio clips, providing a substantial base for model training.
• Covers 50 distinct and balanced environmental sound classes, ensuring diversity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale projects.
• Last update date is unknown; freshness unverified.

Provenance

Source

kaggle