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• Around 6000 car images data used to train the model and annotated in 3 parts replacement, dent and scratch. • Use of Custom Object Detector to train .

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vg11072001/car_damage_detection

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Car Damage Detection

Dataset

Used 6000 images of damaged cars. Overview -

image

Detection and Segmenation

  • Its performed using yoloV5 and segmenation using google's segment-anything, if its yes then we proceeds for next step! image

Dataset Anotation

  • Dataset divided into 3 categories:
  1. Replacement
  2. Scratch
  3. Dent

image

Inference

Plots

Tensorboard_1 2Tensorboard_1

About

• Around 6000 car images data used to train the model and annotated in 3 parts replacement, dent and scratch. • Use of Custom Object Detector to train .

Topics

python machine-learning deep-learning tensorflow object-detection ssd-mobilenet anotation

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