Label Validation

Ango Hub allows you to implement and manage validation scripts that apply across all project stages. These scripts offer flexibility through continuous editability as your project requirements change.

Post-publication edits to the validation script will take affect to batches where the user will explicitly trigger the ‘Validation' feature again on the tool.

Types of Validation Scripts

Validation scripts are executed using a decorator-based approach. Each type of validation uses specific decorators to target different elements like frames, classes, or task attributes.

1. Frame-wise Validation

Frame-wise validation ensures that each individual frame is validated according to specific rules. A decorator for this type of validation specifies that the function will process one frame at a time.

Decorator Usage:

• The decorator @dec({"type": "frame"}) tells the system that the function is working on individual frame data.

Function Definition:

• The function receives one parameter, which is the data for a specific frame.

• The function processes this frame and can return an error log if any issue is found.

2. Class Validation Across Multiple Frames

Class validation checks specific classes across multiple frames. This ensures that particular classes (e.g., "Vehicle", "Trucks", etc.) are consistently annotated across all frames.

Decorator Usage:

• The decorator @dec({"type": "object", "selector": "class", "value": ["<class1>", "<class2>"]}) tells the system to pass annotations of the specified classes across all frames into the function.

Function Definition:

• The function receives one parameter for each specified class. If you validate two classes, you need two parameters.

• The function compares or processes the classes across multiple frames.

3. Task-wise Attribute Validation Across Frames

This type of validation ensures that attributes related to a task are validated across all frames in the task.

Decorator Usage:

• The decorator @dec({"type": "attribute", "selector": "task"}) indicates that the function will work with task-level attributes across multiple frames.

Function Definition:

• The function receives one parameter that includes all attributes related to the task, across all frames.

Validations on the 3D MSF Tool

The Interactive Validation performs real-time checks on annotations before the data moves to the next stage in the taskflow. It uses pre-defined validations setup and highlights potential issues. The tool allows users to view, validate, and fix problems interactively without leaving the annotation workspace.

Validation enhances the workflow by ensuring consistent and high-quality results across sequences.