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 (4 years ago)
Commits 28 (last one 3 years ago)
Stargazers 55 (0 this week)
Watchers 5 (0 this week)
Forks 18
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RepositoryStats indexes 617,630 repositories, of these NeelBhowmik/efficient-compact-fire-detection-cnn is ranked #452,528 (27th percentile) for total stargazers, and #339,508 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #87,350/124,984.

NeelBhowmik/efficient-compact-fire-detection-cnn is also tagged with popular topics, for these it's ranked: deep-learning (#6,880/8709),  machine-learning (#6,566/8270),  pytorch (#4,856/6139),  python3 (#3,220/4249),  computer-vision (#2,484/3213),  artificial-intelligence (#1,709/2211),  object-detection (#948/1213),  opencv (#703/966),  deep-neural-networks (#537/647),  cnn (#441/566),  classification (#442/558),  convolutional-neural-networks (#458/557),  image-classification (#310/411)

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updated: 2025-01-03 @ 04:02am, id: 326219707 / R_kgDOE3G3uw