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 534,551 repositories, of these NeelBhowmik/efficient-compact-fire-detection-cnn is ranked #431,521 (19th percentile) for total stargazers, and #317,223 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,283/103,470.

NeelBhowmik/efficient-compact-fire-detection-cnn is also tagged with popular topics, for these it's ranked: deep-learning (#6,593/7827), machine-learning (#6,269/7371), pytorch (#4,669/5588), python3 (#3,118/3810), computer-vision (#2,334/2820), artificial-intelligence (#1,526/1822), object-detection (#894/1083), opencv (#681/845), deep-neural-networks (#525/602), convolutional-neural-networks (#442/513), classification (#417/507), cnn (#424/506), image-classification (#304/366)

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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: 2024-06-01 @ 06:05pm, id: 326219707 / R_kgDOE3G3uw