Waste Garbage Management: 19,762 Images Across 10 Recycling Categories

steveharianto's Garbage Classification Dataset contains 19,762 images of garbage items organized into 10 classes for machine learning and computer vision projects. The dataset is designed for applications in recycling and sustainable waste disposal. It was last updated on Hugging Face on 2025-12-24.

Use Cases

• Train image classification models to sort waste into categories like metal and glass based on the described 10 classes.
• Develop object detection models for identifying garbage items in images based on the dataset's focus on waste management.
• Build AI-powered solutions for sustainable waste disposal systems based on the dataset's stated purpose.
• Benchmark model performance on recycling-related computer vision tasks based on the provided class distribution.

Strengths

• Contains 19,762 total images, providing a substantial base for model training.
• Organized into 10 distinct classes, including metal and glass, for structured classification tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The full class distribution beyond 'Metal: 1020' and 'Glass: 3061' is not provided in the input, limiting assessment of balance.

Provenance

Source

steveharianto on Hugging Face

Freshness

Last updated 2025-12-24 14:13:38; freshness should be verified.