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 28 (0 this week)
Watchers 2 (0 this week)
Forks 3
License mit
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RepositoryStats indexes 598,732 repositories, of these maidacundo/real-time-fire-segmentation-deep-learning is ranked #580,627 (3rd percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,885/17,660.

maidacundo/real-time-fire-segmentation-deep-learning is also tagged with popular topics, for these it's ranked: deep-learning (#8,418/8543),  pytorch (#5,948/6032),  segmentation (#638/646),  convolutional-neural-networks (#545/550),  semantic-segmentation (#511/525)

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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: 2024-12-05 @ 07:51am, id: 613265969 / R_kgDOJI2yMQ