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Explainable Detection of Microplastics Using Transformer Neural Networks
Summary
Transformer neural network models can detect and classify microplastics in images with high accuracy while providing explainable outputs that identify which visual features drive classification decisions. Automated detection tools like this are key to scaling up microplastic monitoring programs and generating the standardized data needed to quantify pollution trends globally.
Microplastics are environmental contaminants that put marine and aquatic ecosystems at serious risk. Monitoring microplastics is necessary to understand the level of microplastic pollution in our environment. However, the lack of a standard protocol for quantifying...