Automatically Label Image Dataset
Harness the power of AI to automatically annotate your image datasets for classification and object detection tasks.
Benefits for Data Labelers
Auto labeling offers significant benefits, including saving time and reducing manual effort in annotating large datasets. By leveraging AI to automatically label images, it enhances accuracy and consistency, minimizes human error, and accelerates the preparation of data for training machine learning models.
Reduce labeling time by up to 80% with AI-powered automation.
Minimize human error and achieve consistent labeling across your dataset.
Quickly annotate and update your training data for rapid model improvements.
How It Works
1. Configure Auto Label
Within the annotation page, select the AI model (GroundingDINO, Florence-2, Paligemma) that best fits your labeling needs.
Provide label prompts for the model to ensure accurate labels are generated
2. Run Auto Label
Click the "Start Auto Label" button and relax as the model takes over the annotation process
3. Review and Approve Labels
Review the generated labels, refine the prompts, or choose a different model if needed.
Approve the annotations once you're satisfied with the results.
Features for Every Labeling Use Case
Automatically label images with bounding boxes and categories for both individual images and batches, streamlining your object detection and image classification machine learning tasks.
Annotate an image for object detection by providing the desired labels. The AI will analyze the image and draw bounding boxes around the specified objects.
Annotate an image for classification by providing the desired labels. The AI will analyze the image and automatically assign the specified categories.
Configure the labels for the entire batch. The AI will annotate all images, drawing bounding boxes around the specified objects, and notify you once the process is complete.
Ready to speed up your dataset labelling tasks?
Harness the power of AI to automatically annotate your image datasets for classification and object detection tasks.