Use Active Learning to diversely sample the dataset and generate new labels to train a classifier to predict whether the microscopy image contains a linear arrangement of 53BP1 accumulation on chromatin surrounding DNA damage, or irradiation induced foci.
A Label Studio plugin with InstanceGM for improving data labels for machine learning with machine learning
DVC Sync S3 API is a minimal S3 interface that bridges the gap between data labeling tools and the data science pipeline
Project on Evalution Fashionability of Man Outwear Based on Their Clothes
digator-label-studio is a set of different Label Studio ML backends.
This small module connects Label Studio with Fonduer by creating a fonduer labeling function for gold labels from a label studio export. Documentation: https://irgroup.github.io/labelstudio-to-fonduer/
A script for obtaining a binary mask as png from label_studio json format
Create ready-to-use Label Studio pre-populated JSON files from popular OCR formats.
API service that detects toxicity in Russian text using machine learning
Configuring Label Studio's Machine Learning backend with YoloV5 for faster object annotations.
Selenium Automation Script for Task Assignment
Implementing Incremental Learning In Label Studio Using River ML Model
An AI-aided image segmentation ML-Module for Heartexlab/Label-Studio. Easy to deploy. Great to use.
Annotation assistent tool that uses CLIP to find described objects in dataset and label them
A simple python-script to augment an annotated dataset in JPG/XML Format as used by LabelIMG (https://github.com/tzutalin/labelImg) and now Label Studio. The script will rotate the images 4 times and mirror the resulting images and the annotations making for an expansion by the factor of 8.
Fine tuning YoloV7 to detect white, red bloodcells and platelets to be used as backend in label studio for pre annotating
Custom YOLOv8 backend for Label Studio
A Streamlit component integrating Label Studio Frontend in Streamlit applications
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