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Working from home

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@WeWantEdTR @InnoVentures-Tech @DentiAssist @simurgailab

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dilaraozdemir/README.md

Hi 👋, I'm Dilara Özdemir

MSc Student, UI/UX Developer and AI Specialist

dilaraozdemir

  • 🖨️ I’m currently working at Mitsubishi Electric Innovation Center (MELIC)
  • 💻 I’m voluntarily working at Simurg AI
  • 👨‍💻 All of my projects are available at dilaraozdemir
  • 💬 Ask me about Image Processing, Computer Vision, Object Detection, Machine Learning and Deep Learning.

tensorflow pytorch python keras git

Contact

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  1. satellite-image-classification-pytorch satellite-image-classification-pytorch Public

    Image classification on Satellite Dataset-RSI-CB256 with torchvision models.

    Jupyter Notebook 21 2

  2. faster-r-cnn-tensorflow-api-custom faster-r-cnn-tensorflow-api-custom Public

    Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.

    Python 13 7

  3. Mask-RCNN-Installation Mask-RCNN-Installation Public

    Forked from buseyaren/installation-guide-of-maskrcnn

    Step by step installation on Anaconda Prompt

    Jupyter Notebook 1

  4. tooth-detection-and-numbering-in-panoramic-radiographs tooth-detection-and-numbering-in-panoramic-radiographs Public

    Forked from simurgailab/tooth-detection-and-numbering-in-panoramic-radiographs

    The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.

  5. automatic-dental-segmentation-module automatic-dental-segmentation-module Public

    Forked from simurgailab/automatic-dental-segmentation-module

    In this study, DentiAssist, a web-based radiological image analysis and labeling application supported by artificial intelligence, was developed for the education of dentistry students.

  6. mask-rcnn-implementation-with-custom-dataset mask-rcnn-implementation-with-custom-dataset Public

    Forked from simurgailab/mask-rcnn-implementation-with-custom-dataset

    Implementation of Mask R-CNN architecture, one of the object recognition architectures, on a custom dataset.

    Jupyter Notebook 2