Category Annotation allows you to classify images into predefined categories or labels, providing crucial information for training and enhancing computer vision models. With our intuitive interface, annotating datasets by selecting categories is quick and straightforward. Follow the instructions below to annotate datasets using the Category Annotation tool.

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Annotation Process

Follow these steps to annotate datasets by selecting categories:
  1. Access Annotation Interface: Navigate to the Annotation Interface within your project, where you can annotate datasets. This interface typically opens when you click on the “Annotate” button associated with a dataset batch.
  2. Load Image: Upon accessing the Annotation Interface, the image from the dataset batch will be loaded for annotation. This image serves as the canvas for adding annotations.
  3. Select Category: On the right panel of the Annotation Interface, you’ll find a list of predefined categories or labels. Click on the category that best describes the content of the image.
  4. Add New Labels (Optional): If the desired category is not available in the predefined list, you can add new labels as needed. Click on the option to add a new label, enter the label name, and confirm to add it to the list of available categories.
  5. Apply Category: After selecting the appropriate category for the image, apply the category annotation by confirming your selection. This action associates the selected category with the image, facilitating classification tasks.
  6. Proceed to Next Image: Once the annotation for the current image is completed, proceed to the next image within the dataset batch to continue the annotation process. Repeat steps 3-5 for each image in the dataset batch.

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Annotation Interface

Our Annotation Interface offers an intuitive and user-friendly experience for category annotation:
  • Image Display: The main area of the interface displays the image from the dataset batch, providing a visual canvas for annotation.
  • Category Selection: The right panel of the interface presents a list of predefined categories or labels for selection. Easily choose the appropriate category for each image.
  • Add New Labels: If necessary, users can add new labels directly from the interface to accommodate specific annotation requirements.
Get Started Begin annotating your datasets by selecting categories today to enhance the classification capabilities of your computer vision models. Should you encounter any issues or have questions regarding the annotation process, our support team is available to provide guidance and assistance. We’re committed to facilitating a seamless and efficient annotation experience to empower your computer vision projects.