maidacundo / real-time-fire-segmentation-deep-learning

Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.

maidacundo
maidacundo
Date Created 2023-03-13 (about a year ago)
Commits 89 (last one about a year ago)
Stargazers 25 (1 this week)
Watchers 2 (0 this week)
Forks 3
License mit
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RepositoryStats indexes 584,353 repositories, of these maidacundo/real-time-fire-segmentation-deep-learning is ranked #578,114 (1st percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,836/17,098.

maidacundo/real-time-fire-segmentation-deep-learning is also tagged with popular topics, for these it's ranked: deep-learning (#8,357/8389),  pytorch (#5,924/5948),  segmentation (#630/630),  convolutional-neural-networks (#539/540),  semantic-segmentation (#509/512)

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89 commits on the default branch (main) since jan '22

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maidacundo/real-time-fire-segmentation-deep-learning

updated: 2024-11-18 @ 02:40pm, id: 613265969 / R_kgDOJI2yMQ