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 598,249 repositories, of these NeelBhowmik/efficient-compact-fire-detection-cnn is ranked #447,281 (25th percentile) for total stargazers, and #336,332 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #85,747/120,079.

NeelBhowmik/efficient-compact-fire-detection-cnn is also tagged with popular topics, for these it's ranked: deep-learning (#6,833/8536), machine-learning (#6,518/8086), pytorch (#4,831/6035), python3 (#3,188/4157), computer-vision (#2,453/3147), artificial-intelligence (#1,664/2120), object-detection (#937/1179), opencv (#698/943), deep-neural-networks (#533/636), cnn (#436/557), convolutional-neural-networks (#455/550), classification (#437/544), image-classification (#310/401)

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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: 2024-11-28 @ 09:04pm, id: 326219707 / R_kgDOE3G3uw