# supervisely-tutorials

**Repository Path**: HaiFengZhiJia/supervisely-tutorials

## Basic Information

- **Project Name**: supervisely-tutorials
- **Description**:  Tutorials for Supervise.ly
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-30
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Supervise.ly Tutorials
Deep Learning tutorials that use latest architectures and models along with dataset preparation tool [Supervise.ly](https://supervise.ly).

Tutorials
---------
- **[ANPR](anpr)** - Number plate detection with Supervisely and Tensorflow [(medium)](https://medium.com/p/e84c74d4382c)
- **[UNet](unet_training)** - Training road scene segmentation on Cityscapes with Tensorflow and UNet [(medium)](https://medium.com/p/1232314781a8)
- **[SSD](ssd)** - Combining Cityscapes and Mapillary to train SSD using Supervise.ly (medium - coming soon)
- **[anpr_ocr](anpr_ocr)** - Plane number recognition with Keras [(medium)](https://hackernoon.com/latest-deep-learning-ocr-with-keras-and-supervisely-in-15-minutes-34aecd630ed8)

Prerequisites
-------------
You're going to need:
- An account on [Supervise.ly](https://supervise.ly)
- CUDA-capable GPU is required for some tutorials
- Docker - Highly recommended

Need Help? Found a bug?
--------------------
[Submit an issue](https://github.com/DeepSystems/supervisely-tutorials/issues) if you need any help. You can also submit a pull request or just write an email to help@supervise.ly