【CVAT】How to create multiple jobs in one task?

Creating Multiple Jobs in One CVAT Task

CVAT, a powerful open-source tool for image and video annotation, allows you to efficiently organize your annotation tasks. This article will guide you on creating multiple jobs within a single task, enabling you to streamline your annotation workflow.

Understanding the Concept

A CVAT task represents a comprehensive annotation project. It encompasses various “jobs,” each representing a specific set of data to be annotated. Creating multiple jobs within a task offers flexibility and efficiency by allowing you to:

• Organize data by categories: Group images or videos based on their subject matter or annotation requirements.
• Assign jobs to different annotators: Divide the workload for parallel annotation.
• Control access and permissions: Restrict specific annotators to certain jobs within the task.

Steps to Create Multiple Jobs

Follow these steps to create multiple jobs within a CVAT task:

1. Create a new task: Access the CVAT platform and create a new task. You can import your dataset or directly upload media files.
2. Define jobs within the task: Once the task is created, navigate to the “Jobs” section. Click the “Create Job” button.
3. Configure job settings:
   • Job Name: Assign a descriptive name to the job.
   • Annotation type: Select the appropriate annotation type for the job (e.g., bounding boxes, polygons, semantic segmentation).
   • Data selection: Choose the specific media files (images or videos) that belong to this job.
   • Job label: Provide a short descriptive label for the job.
4. Repeat for additional jobs: Continue creating jobs as needed, following the same steps. Each job will have its own set of data and configuration settings.

Example: Organizing an Image Dataset

Imagine you have an image dataset of cars, bicycles, and pedestrians. You can organize this dataset into three separate jobs:

• Job 1: Cars – Includes images containing cars.
• Job 2: Bicycles – Includes images containing bicycles.
• Job 3: Pedestrians – Includes images containing pedestrians.

By creating these separate jobs, you can assign different annotators to each job, ensuring focused annotation efforts. You can also control permissions, allowing only specific annotators to work on particular categories.

Advantages of Multiple Jobs

• Improved Organization: Clear separation of data based on specific requirements.
• Parallel Annotation: Enables multiple annotators to work concurrently on different jobs.
• Efficient Workflow: Focuses annotation efforts on specific categories, enhancing speed and accuracy.
• Better Control: Allows for access control and data management based on job roles.

Conclusion

Creating multiple jobs within a CVAT task is a powerful technique for streamlining annotation workflows. By leveraging this feature, you can effectively organize your dataset, assign tasks efficiently, and enhance the overall annotation process. This approach optimizes time, resources, and ultimately contributes to higher-quality annotation results.