Posts for: #Computer Vision

Smoke segmentation using Deep Learning

Smoke segmentation using Deep Learning

Developed 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

ive-smoke

Green area represents actual smoke area (ground truth), Red area represents automatic segmented area, Brown region is the overlap between these.

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