This tutorial would help address all issues regarding creation of a new project. What are the data types supported? How to Import data? & How to set Labelling parameters?
Topics Covered
This guide covers creating different types of projects in Labellerr:
- Image Projects - For visual annotation tasks
- Text Projects - For text analysis and labeling
- Video Projects - For temporal annotation workflows
- Audio Projects - For sound analysis and segmentation
How to Create an Image Project?
1
Selecting Data
Once at the Home page, To create a new project, click on ‘Create Project’ button to begin.
Only one data type can be selected per project.For more on Text, Audio and Video data types, Check out the following create Text, Video & Audio Guides:
2
Upload/Attach existing dataset
If a new dataset is to be created, Click on the “Create Dataset” button or you can select Public datasets for testing. To know more about how to test using Public Datasets you can visit the next tutorial.
Now choose a data modality to work with. The options are Image, Video, Audio, Text, Document and then click on Next.
Now select a Data Connector. The available formats are Google Drive, Google Cloud, Amazon S3 & Local Upload.
Next, fill in the new dataset details: Enter the Name (mandatory) and Description (optional), then click on ‘Create Dataset’.
For more on how to upload files from different sources, check out Datasets
3
Label Configuration
Here, Objects and Classifications based on the labeling requirements are supposed to be created. You can create a new template from scratch using the various options available or select an existing template from previous work on clicking ‘Existing Templates’ button.
There are different ‘Object’ & ‘Classification’ types. For objects, in Objects tab, Click on ‘Add Object’. Enter Object name and select object type. Click on 💾 button to add it.
If you are confused to what object should be you can also view a sample image by clicking on show preview.
This will show you a preview of a random image from the dataset.
To add attributes of an object or to edit the type/name of object, click on pen icon in parallel to object name. Click on ‘Add Attribute’. Enter name of the Attribute and click on ‘Add Options’ to enter the values of attribute.
For more on Image editing icons, check out the Image Editing Icons Guide.After you’ve finished, click on the “Next Step” button. Then, fill your new “Template Details” details and click on “Proceed” to continue so you can use the same template in future projects.
Additional options are also available:
- Required - Indicates that the attribute must be completed.
- Sort options - Allows sorting the values of the attribute.
- Not sure remarks - Enables adding remarks when unsure about an answer.
Similarly, for classification, navigate to the ‘Classifications’ tab. Click on ‘Add Classification’, then enter the classification name/question. Select the classification type from the dropdown options, and click on ‘Add option’ to enter values for dropdown, radio, or multiselect options.
4
Create Project with AI or Manual Labelling and Review
Write the project name.Select your review process by enabling or disabling the toggle button, Enable review cycle (if Review Process is needed) & Enable client review cycle (if Client Review Process is needed).
Click the ‘Create Project with Labellerr AI’ button to create your project with AI Data Labeling and you will have to just review.If selected Human Labeling project it will allow you to annotate manually. Once created, it will appear in the list along with your previously created projects. To view a project, simply click the ‘View button’.
To find the project ID, check the URL in the web link of the project’s dashboard, labeling, review/client review screens, or navigate to the project’s page and find it under that particular project as a column.
For further assistance contact support@tensormatics.com