# Semantic Segmentation (png images)

###

### Export archive directory and file structure <a href="#export-archive-directory-and-file-structure" id="export-archive-directory-and-file-structure"></a>

```basic
project_folder
|-- label_classes.json
|-- dataset1_name
    |-- image1.png
    |-- image2.png
    |-- ...
|-- dataset2_name
    |-- image1.png
    |-- image2.png
    |-- ...
|-- ...
```

### label\_classes.json structure <a href="#label-classes-json-structure" id="label-classes-json-structure"></a>

The file contains the definition of all label classes and corresponding pixel values of the images

```json
[
  {
    "png_index": 1,
    "class_name": "bedclothes",
    "color": "#4df3ce",
    "class_type": "object"
  },
  {
    "png_index": 2,
    "class_name": "building",
    "color": "#4c4ffc",
    "class_type": "object"
  },
  {...},
  {...}
]
```

### The Label Class object <a href="#the-label-class-object" id="the-label-class-object"></a>

#### Attributes <a href="#attributes" id="attributes"></a>

**png\_index** *integer*\\\
Pixel index

**class\_name** *string*\\\
The name of the class

**color** *string*\\\
Associated with the label class color, in format #RRGGBBAA

**class\_type** *string* Class type, "object" or "background"

### Image description <a href="#image-description" id="image-description"></a>

All the images contain a single channel and are stored as 8-bit pixels, black and white. 0 - is a background.


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