/supervisely-tutorials

🌈 Tutorials for Supervise.ly

Primary LanguageJupyter NotebookMIT LicenseMIT

Supervise.ly Tutorials

Deep Learning tutorials that use latest architectures and models along with dataset preparation tool Supervise.ly.

Tutorials

  • ANPR - Number plate detection with Supervisely and Tensorflow (medium)
  • UNet - Training road scene segmentation on Cityscapes with Tensorflow and UNet (medium)
  • SSD - Combining Cityscapes and Mapillary to train SSD using Supervise.ly (medium - coming soon)
  • anpr_ocr - Plane number recognition with Keras (medium)

Prerequisites

You're going to need:

  • An account on Supervise.ly
  • CUDA-capable GPU is required for some tutorials
  • Docker - Highly recommended

Need Help? Found a bug?

Submit an issue if you need any help. You can also submit a pull request or just write an email to help@supervise.ly