car-damage-detector and Automated-Car-Damage-Detection
Both are independent implementations of the same Mask R-CNN architecture for the identical task of segmenting car damage regions, making them direct competitors offering functionally equivalent solutions with no technical interdependencies.
About car-damage-detector
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.
About Automated-Car-Damage-Detection
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.
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