Semi-Automated Bounded Box Labeling with OpenMMLab

Overview

OpenMMLab integrates with the Label Studio machine learning API to provide semi-automated bounded-box labeling using the mmdetection library and the RTMDdet model. Quickly run pre-labeling on images with the integration, using standard COCO format, using MMDet’s algorithms and existing weight files. Thanks to Label Studio’s model refinement feature users can create a high-quality dataset with minimal effort compared to the manual annotation of images.

Benefits

Integrating OpenMMLab with Label Studio provides the following benefits:

• Automated Labeling: get a quick start on your image labeling with automatic object detection
• Standard COCO Format: bounding boxes are supplied using the standard COCO format.
• Fast Integration: The machine learning connection is provided by the library, allowing for a rapid connection to Label Studio with minimal coding.