Wildfire Smoke Detection Model
Research Competition Computer Vision Detectron2
I participated in a 3-month machine learning research competition called ProjectX which focused on climate change related problems. As part of the UBC team, I led a group of 4 undergraduate students and together we proposed a smoke detection task on a network of firecameras spread across Western US. We demonstrated the feasibility of smoke detection in Pan-Tilt-Zoom camera data using a multi-label image classifier. We applied a gridded image approach where the model predicts the grid segments containing smoke.