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rcnn-model

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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.

  • Updated Jan 12, 2021
  • Jupyter Notebook

Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.

  • Updated Dec 6, 2022
  • Jupyter Notebook

This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art meth…

  • Updated Aug 9, 2022
AREnets

Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation

  • Updated Nov 8, 2023
  • Python

The Passport and ID Card Image Dataset is a collection of over 500 images of passports and ID cards, specifically created for the purpose of training RCNN models for image segmentation using Coco Annotator. The dataset includes high-quality images of passports and ID cards, covering a diverse range of countries, nationalities and designs.

  • Updated Jan 29, 2023

Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.

  • Updated Aug 9, 2022
  • Jupyter Notebook

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