Batch Auto-Annotation
Do you need a fast auto-annotation tool? Batch Auto-Annotation is here to help!
Last updated
Do you need a fast auto-annotation tool? Batch Auto-Annotation is here to help!
Last updated
Batch Auto-Annotation in Unitlab Annotate automatically annotates your data using batch predictions from either built-in AI models or your own (BYO) models.
🤖 Batch Auto-Annotation is available only to paid users, please refer to the Plans and Pricing page on Unitlab Annotate.
Efficient Annotation: Batch Auto-Annotation allows you to annotate large volumes of data quickly and accurately, significantly reducing the time required for manual annotation.
Scalability: It is built to handle large datasets, making it suitable for projects of any size.
High Accuracy: Our built-in Foundation Model delivers exceptional precision, enabling accurate image annotation for tasks such as object detection, segmentation, polygon detection, multi-keypoint identification, and classification.
Flexibility: You can bring your own pre-trained models (BYO) by integrating them with Unitlab Annotate. Learn how to integrate your AI models with Unitlab Annotate on the Model Integration page.
Example #1 : Fashion Semantic Segmentation using Batch Auto-Annotation
To use batch auto-annotation, ensure that you select an AI model for your project while creating it, as follows:
In our example, let's select one of the built-in AI models: People Segmentation. As previously mentioned, you have the option to integrate your own pretrained AI model with Unitlab Annotate. All integrated models, along with the built-in AI models, appear in a list, as shown in the screenshot.
Learn how to integrate your own pretrained AI model into Unitlab Annotate on the Model Integration page.
To complete the demo project for Batch Auto-Annotation, simply follow the same steps as outlined in the "Setup a Project" section.
After completing the project, click on the project. You will see the "Batch Auto Label" button in the right corner of the project's data page, as shown below.
Before performing batch auto-annotation, you need to select a group of data to make a batch. Then click on the "Batch Auto Label" button. It generates annotations for your data.
Let's look at some real examples!
Example #2 : People Instance Segmentation using Batch Auto-Annotation
As you can see, it is fast and accurate enough! If your integrated model is accurate enough, why not use it for auto-data collection in Unitlab Annotate?
