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Achieving over 98% accuracy in classifying infected mosquitoes from video frames showcases the power of combining vision and language models for biological analysis.
Achieving nearly 89% accuracy in detecting dengue-infected mosquitoes, this framework redefines feature extraction in complex video environments.
