louisyuzhe / car-damage-detector

Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.

Date Created 2020-12-29 (3 years ago)

Commits 8 (last one 3 years ago)

Stargazers 72 (0 this week)

Watchers 5 (0 this week)

Forks 42

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RepositoryStats indexes 595,856 repositories, of these louisyuzhe/car-damage-detector is ranked #367,915 (38th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,260/17,543.

louisyuzhe/car-damage-detector is also tagged with popular topics, for these it's ranked: deep-learning (#5,958/8512), machine-learning (#5,639/8063), convolutional-neural-networks (#383/549)

Other Information

louisyuzhe/car-damage-detector has Github issues enabled, there are 5 open issues and 1 closed issue.

All Topics

ms-coco mask-rcnn rcnn-model deep-learning machine-learning car-damage-detector applied-machine-learning convolutional-neural-networks

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updated: 2024-12-17 @ 05:26pm, id: 325215496 / R_kgDOE2JlCA