Plugins

Supervisely/ Cityscapes

Import Updated 5 days ago Free
Drag and drop two directories: 'gtFine' and 'leftImg8bit'
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Cityscapes Import

The Cityscapes Dataset is intended for

  • assessing the performance of vision algorithms for two major tasks of semantic urban scene understanding: pixel-level and instance-level semantic labeling;
  • supporting research that aims to exploit large volumes of (weakly) annotated data, e.g. for training deep neural networks.

Usage steps:

1) Download Cityscapes dataset from official site

2) Unpack archive

3) Directory structure have to be the following:

.
├── gtFine
│   ├── test
│   │   ├── ...
│   ├── train
│   │   ├── ...
│   └── val
│       ├── ...
└── leftImg8bit
    ├── test
    │   ├── ...
    ├── train
    │   ├── ...
    └── val
        └── ...

4) Open Supervisely Import page. Choose Cityscapes import plugin.

5) Select one or more subdirectories (gtFine, leftImg8bit) and drag and drop them to browser.

6) Define new project name and click on START IMPORT button.

7) After import task finish, you can view created project:

![](https://i.imgur.com/aJELl7l.jpg)

8) Also you can find more detailed information about project on Statistics, Classes and Tags tabs:

![](https://i.imgur.com/C6yW0Rw.jpg)

![](https://i.imgur.com/D4a1RI1.png)

Notes:

  • If you will drag and drop parent directory instead of its content, import will crash.

  • Supervisely import documentation.

Docker Image

supervisely/import-cityscapes:latest

More Info

ID
69837
Version ID
84484
First released
4 months ago
Last updated
5 days ago

Owner

s