Configs and boilerplates for Label Studio's Machine Learning backend

spaCy powered Label Studio ML backend

Annotation assistant tool that uses CLIP to find described objects in dataset and label them

Utilizing Yolov5, Fastdeploy, and other technologies as the Machine Learning backend for Label Studio.

No description available

## YoloV5 ML backend for label-studio for semi-automatic labeling

No description available

label-studio + yolov8标注平台本地部署（docker部署），已调通yolov8模型自动预标注功能。

Whisper ASR backend for Label Studio

ML Backend for Label Studio written in Rust.

This project, named Label-Studio-Yolo-Backend, is an open-source project aimed at providing an Yolov5 assisted labeling backend for Label Studio using label-studio-ml.

This toolkit provides an intuitive web-based interface for creating segmentation masks by utilizing keypoints or bounding boxes and assigning descriptive text labels, which is built on LabelStudio and Label-Studio-ML-Backend.

Label Studio ML Backend using YOLOv7

No description available

1.用训练好的unet模型做预标注，提升标注效率；2.用标注后的数据fine-tune已有模型，提升模型性能

ml backend for label studio UAV predictions

SAM2 ML Backend for Nuclio using Label Studio ML Backend SDK

Flask API designed for label-studio-ml-backend. Please don't forget to add your label into the code.

No description available

SAM2/SAM2.1 video object tracking ML backend for Label Studio

Semi-automated annotation pipeline using Label Studio and a YOLOv5 ML backend

label-studio_ml_backend

ML backend for label studio

ML backend for label-studio

ML Backend on label studio

ML Backend for label studio

Fork of Label Studio ML Backend

No description available

Label Studio ML backend with SAM2 integration for automated image segmentation

Label studio ML bakcend for pre label generation