Deep Learning with Python

  • Estado: Closed
  • Premio: $160
  • Propuestas recibidas: 1
  • Ganador: kylealtheaanne

Resumen del concurso

I have a project with Deep Learning with Python. In my project I want to detect roads from aerial photos. My photos ready. I labeled my train and testing photos on Labelbox. Now I want to crate a CNN project. I plan to use Tensorflow and Keras. In addition I want to create and run my project on Google Colab. I need someone to code my project. In addition while coding he describe the codes with remote desktop for example with Skype or any other platform. The other components to be used in the project (the activation functions of the sample, epoch value, etc.) will be determined by the person who will make the project.

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Comentarios del empleador

“Kyle has a smiling face every time. She also tried to answer all of our questions as best he could. I'm grateful to her. Thank you Kyle. ”

Imagen del perfil baranaras, Turkey.

Tablero de aclaración pública

  • visweswaran1998
    visweswaran1998
    • 5 años atrás

    Give me the link to your dataset of images please

    • 5 años atrás
    1. baranaras
      Organizador del concurso
      • 5 años atrás

      My data set is ready. My data set labeled on labelbox.com We can export the data any format you prefer such as TF Record, JSON, CSV, COCO, VOC. I have only one class (road). I want to detect only road from aerial photos. ı can not share any link now.

      • 5 años atrás
  • shashikg
    shashikg
    • 5 años atrás

    dataset??

    • 5 años atrás
    1. baranaras
      Organizador del concurso
      • 5 años atrás

      My data set is ready. My data set labeled on labelbox.com We can export the data any format you prefer such as TF Record, JSON, CSV, COCO, VOC. I have only one class (road). I want to detect only road from aerial photos.

      • 5 años atrás

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