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Ensuring the students in good physical levels is imperative for their futurehealth. In recent years, the continually growing concentration of ParticulateMatter (PM) has done increasingly serious harm to student health. Hence, it ishighly required to prevent and control PM concentrations in the campus. As thesource of PM prevention and control, developing a good model for PM monitoringis extremely urgent and has posed a big challenge. It has been found in priorworks that photobased methods are available for PM monitoring. To verify theeffectiveness of existing PM monitoring methods in the campus, we establish anew dataset which includes 1,500 photos collected in the Beijing University ofTechnology. Experiments show that stated-of-the-art methods are far from idealfor PM monitoring in the campus.

AQPDBJUT Dataset: Picture-Based PM Monitoring in the Campus of BJUT