35grain/label-studio-yolov8-backend
Custom YOLOv8 backend for Label Studio
This project helps data labeling teams integrate their custom YOLOv8 object detection models with Label Studio. It takes images as input to a trained model and produces bounding box predictions that speed up the manual annotation process. Data scientists or machine learning engineers setting up data labeling pipelines would use this.
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Use this if you need to accelerate image annotation by automatically generating initial bounding box predictions using your own YOLOv8 model within Label Studio.
Not ideal if you are looking for a pre-trained, off-the-shelf model or if your data labeling needs extend beyond object detection with YOLOv8.
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Python
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Last pushed
Apr 12, 2024
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