Semantic Segmentation (png images)

Export archive directory and file structure

basic

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

label_classes.json structure

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

  
Hello, thank you for using the code provided by CloudFactory. Please note that some code blocks might not be 100% complete and ready to be run as is. This is done intentionally as we focus on implementing only the most challenging parts that might be tough to pick up from scratch. View our code block as a LEGO block - you can’t use it as a standalone solution, but you can take it and add it to your system to complement it.

      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

Attributes

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

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