The World’s largest dataset for waste

About WasteNet

Recycleye has partnered with academics at leading universities to create WasteNet; the world’s largest dataset for waste, holding over 2.5 million training images created by deep learning and computer vision.

These datasets are refined by weight and brand-level detection enabled through Recycleye’s vision system. This technology holds world-leading accuracy that has disrupted the waste industry, and is revolutionising the current waste infrastructure.

Databases and Sub-databases

wastenetObject and Material-level Database in Industrial Setting

wastenetObject and Material-level Database in Lab Setting

wastenetBrand-level Waste

Synthetic Waste


Datasets are complex and hard to visualise – Viz-EDA is a exploratory data analysis tool that helps to see through the data.

Learn MoreView GitHub

Our Waste Taxonomy

Recycleye's waste taxonomy