Popular GitHub Repositories for Label Studio

Label data using HuggingFace's transformers and automatically get a prediction service

Fine tuning YoloV7 to detect white, red bloodcells and platelets to be used as backend in label studio for pre annotating

Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.

An AI-aided image segmentation ML-Module for Heartexlab/Label-Studio. Easy to deploy. Great to use.

A desktop graphical tool for labelling image training data for object detection and other machine learning uses. Bounding boxes can be saved in ImageNet Pascal VOC (XML), JSON and CSV formats. Scripts are provided to convert the output to TensorFlow TFRecords for use with the object detection API.

Welcome to the documentation repository for Textra tool. We combine OCR and NLP to extract useful information from french invoices. with height accuracy and speed.

This project is an end-to-end workflow for processing a sample invoice using OCR & manual annotation. The project demonstrates how to extract text from an invoice using Tesseract OCR, refine the results in Label Studio, & prepare a high-quality dataset for AI training. Includes configuration files, scripts, & documentation for document processing

This project is an end-to-end workflow for processing a sample invoice using OCR & manual annotation. The project demonstrates how to extract text from an invoice using Tesseract OCR, refine the results in Label Studio, & prepare a high-quality dataset for AI training. Includes configuration files, scripts, & documentation for document processing

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.