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Smoke segmentation using Deep Learning
Using state-of-the-art algorithms like Mask RCNN
Computer Vision Machine LearningDeveloped during the Computer Vision course under the guidance of Dr. Pritee Khanna at IVE Lab, IIITDMJ, this research project uses state-of-the-art deep learning algorithms like Mask RCNN for automatic segmentation of smoke regions in images.
Technologies used: Deep Learning, Computer Vision, Python, Google Colab
Green area represents actual smoke area (ground truth), Red area represents automatic segmented area, Brown region is the overlap between these.