Human Instance Detection And Crowdsourcing Annotation
Performed high-precision bounding box annotation on high-resolution images to identity and isolate individual human subjects.The project involved multi-subject detection in various environments, requiring strict adherence to tight-box protocols (ensuring no pixels were clippped and minimizing background noise) Handled complex scenarios including overlapping subject and variying crowd densities to ensure high-fidelity training data for computer vision models.