Garbage Classification Dataset with 10 Waste Categories and 19,762 Images

19,762 images of garbage items are categorized into 10 classes for machine learning projects. The dataset is designed for computer vision tasks focusing on recycling and sustainable waste management. It was created by omasteam and last updated on Hugging Face in August 2025.

Use Cases

• Train image classification models to sort waste based on the 10 material categories.
• Develop object detection models for identifying garbage items in images.
• Build AI-powered tools for sustainable waste disposal systems using the labeled image data.

Strengths

• Contains 19,762 total images, providing a substantial volume for model training.
• Covers 10 distinct waste material classes, including metal and glass.
• Explicitly designed for machine learning and computer vision projects.

Limitations

• Class distribution is partially shown but not fully detailed; potential class imbalance exists.
• Column-level documentation and sample data are unavailable, requiring inspection after download.
• The source, collection method, and geographic scope of the images are not specified.

Provenance

Source

omasteam on Hugging Face

Freshness

Last updated 2025-08-26 19:08:30