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 585,880 repositories, of these NeelBhowmik/efficient-compact-fire-detection-cnn is ranked #451,486 (23rd percentile) for total stargazers, and #332,676 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #85,995/116,710.

NeelBhowmik/efficient-compact-fire-detection-cnn is also tagged with popular topics, for these it's ranked: deep-learning (#6,865/8407), machine-learning (#6,542/7943), pytorch (#4,851/5958), python3 (#3,240/4103), computer-vision (#2,453/3090), artificial-intelligence (#1,654/2066), object-detection (#941/1159), opencv (#706/925), deep-neural-networks (#536/628), cnn (#440/547), convolutional-neural-networks (#460/542), classification (#441/541), image-classification (#315/393)

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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: 2024-11-12 @ 02:30am, id: 326219707 / R_kgDOE3G3uw