NeelBhowmik / efficient-compact-fire-detection-cnn

Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)

Date Created 2021-01-02 (3 years ago)

Commits 28 (last one 3 years ago)

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RepositoryStats indexes 579,555 repositories, of these NeelBhowmik/efficient-compact-fire-detection-cnn is ranked #453,389 (22nd percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #86,226/115,123.

NeelBhowmik/efficient-compact-fire-detection-cnn is also tagged with popular topics, for these it's ranked: deep-learning (#6,873/8344), machine-learning (#6,553/7877), pytorch (#4,854/5914), python3 (#3,267/4065), computer-vision (#2,450/3057), artificial-intelligence (#1,651/2035), object-detection (#936/1149), opencv (#709/913), deep-neural-networks (#534/623), cnn (#440/540), convolutional-neural-networks (#462/536), classification (#438/534), image-classification (#315/390)

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cnn nasnet opencv python3 pytorch superpixel shufflenetv2 deep-learning classification fire-detection computer-vision machine-learning object-detection deep-neural-networks image-classification artificial-intelligence convolutional-neural-networks

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updated: 2024-10-01 @ 06:49pm, id: 326219707 / R_kgDOE3G3uw