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 (2 years ago)

Commits 34 (last one 2 years ago)

Stargazers 34 (0 this week)

Watchers 2 (0 this week)

Forks 10

License unknown

Ranking

RepositoryStats indexes 637,085 repositories, of these basel-ay/Automated-Car-Damage-Detection is ranked #583,635 (8th percentile) for total stargazers, and #484,417 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,968/19,255.

basel-ay/Automated-Car-Damage-Detection is also tagged with popular topics, for these it's ranked: deep-learning (#8,422/8838), computer-vision (#3,113/3310), object-detection (#1,164/1234), image-processing (#1,115/1181), instance-segmentation (#181/192)

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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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: 2025-04-06 @ 04:59am, id: 586422625 / R_kgDOIvQZYQ