Datasets › PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects
PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects
PoTATO is a dataset designed to enhance the detection of floating plastic waste in aquatic environments by leveraging polarimetric imaging. It comprises 12,380 labeled images of plastic bottles, each enriched with detailed polarimetric information. The dataset aims to improve object detection accuracy under challenging outdoor lighting conditions and water surface reflections. By providing raw image data, PoTATO offers researchers the opportunity to explore novel approaches and advance state-of-the-art object detection algorithms. The dataset and associated code are publicly available
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
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Variants archive 2025-07-28
- PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects
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