basel-ay / Automated-Car-Damage-Detection

Implementation of Mask-RCNN for detecting and segmenting damaged areas in car images for the purpose of damage assessment.

Date Created 2023-01-08 (about a year ago)

Commits 34 (last one about a year ago)

Stargazers 26 (0 this week)

Watchers 1 (0 this week)

Forks 7

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these basel-ay/Automated-Car-Damage-Detection is ranked #585,288 (2nd percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #17,114/17,543.

basel-ay/Automated-Car-Damage-Detection is also tagged with popular topics, for these it's ranked: deep-learning (#8,452/8512), computer-vision (#3,098/3130), object-detection (#1,166/1176), image-processing (#1,105/1119), instance-segmentation (#177/179)

Other Information

basel-ay/Automated-Car-Damage-Detection has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

mask-rcnn deep-learning computer-vision image-processing object-detection instance-segmentation

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Github watchers over time, collection started in '23

Recent Commit History

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

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-17 @ 07:44pm, id: 586422625 / R_kgDOIvQZYQ