Cognitive-AI-Systems/WaRP

WaRP dataset includes labeled images of an industrial conveyor.

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Experimental

This project provides a unique collection of images from an industrial waste sorting plant, showing items on a conveyor belt. It takes raw images of waste and outputs labeled bounding boxes, classifications, or segmentation masks for 28 types of recyclable waste, even under difficult conditions like poor lighting or deformed objects. Operations managers and quality control specialists in recycling facilities can use this to improve automated sorting.

No commits in the last 6 months.

Use this if you need to train or evaluate automated systems for identifying and sorting various types of plastic bottles, glass, cardboard, detergents, canisters, and cans in a real-world industrial recycling environment.

Not ideal if you are looking for a dataset of pristine, perfectly lit, and non-overlapping objects for general computer vision tasks unrelated to waste sorting.

waste-management recycling-plant automated-sorting quality-control materials-recovery
No License Stale 6m No Package No Dependents
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Maturity 8 / 25
Community 12 / 25

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Last pushed

Dec 22, 2023

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