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Export formats
COCO Dataset format
Image export
Pascal VOC
Hasty JSON v1.1
Semantic Segmentation (png images)
How to export a project
Import formats
Import annotations (Beta)
- How to import annotations for an Object Detection task
- How to import annotations for an Instance Segmentation task
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Active Learning in Hasty
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How to use Active Learning in Hasty
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Semi-Supervised Learning
Semi-Supervised Learning in Hasty

Semantic Segmentation (png images)

On this page
Export archive directory and file structure
label_classes.json structure
The Label Class object
Image description
Report issue
Get help

Export archive directory and file structure

    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

    [
  {
    "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.

Last updated on May 15, 2023

Hasty JSON v1.1

How to export a project

On this page
Export archive directory and file structure
label_classes.json structure
The Label Class object
Image description
Report issue
Get help