Hi everyone,

I’ve just released a new version of the Garbage Classification V2 Dataset on Kaggle. This dataset contains 19,762 high-quality images categorized into 10 classes of common waste items:

Metal: 1020 Glass: 3061 Biological: 997 Paper: 1680 Battery: 944 Trash: 947 Cardboard: 1825 Shoes: 1977 Clothes: 5327 Plastic: 1984

Key Features:

Diverse Categories: Covers common household waste items. Balanced Distribution: Suitable for robust ML model training. Real-World Applications: Ideal for AI-based waste management, recycling programs, and educational tools.

🔗 Dataset Link: Garbage Classification V2

This dataset has already been featured in the research paper, “Managing Household Waste Through Transfer Learning.” Let me know how you’d use this in your projects or research. Your feedback is always welcome!