WasteNet
The world’s largest dataset for waste, with pioneering research driving innovation in waste sorting technologies
The world’s largest dataset for waste, with pioneering research driving innovation in waste sorting technologies
Our pioneering research has been developed in partnership with academics at leading universities to create WasteNet: the world’s largest dataset for waste.
It boasts over 3 million training images created by deep learning and computer vision, refined by weight and brand-level detection.
WasteNet is underpinned by 4 unique pillars: waste image datasets, research papers, our data exploratory tool and waste taxonomy.
Through Recycleye Vision, we have analysed over 3 million images of waste items in MRFs (and counting!).
Collated by our expert team of machine learning engineers and academic research partners, our databases are at the heart of our image detection capabilities.
We know that datasets are complex and hard to visualise, so we created Viz-EDA: an exploratory data analysis tool that helps to see through the data. It is completely open-source and available for use.
At Recycleye, we’re constructing a global standard for waste classification so that industry players across the world can speak a common language, establishing clarity between markets.