The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

Social Media Mining Toolkit (SMMT) main repository

A system for prompted weak supervision. Alfred is a powerful tool that leverages large language models to accelerate data annotation.

Data-centric AI building blocks for computer vision applications

Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance

AnnoTheia is a data annotation toolkit that identifies when a person speaks in a scene and transcribes their speech, also offering flexibility to replace modules for different languages.

Lightweight self-hosted span annotation tool

Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information"

Simple Telegram bot to annotate and varify automatic speech recognition datasets

A PointRCNN version of SAnE, which is a web-based semi-automatic annotation tool for point cloud data.

Annotate data using Jupyter notebooks

Convert your annotated data from one format to another format

custom models for named-entity recognition

An internationalized highly customizable annotation and evaluation tool for Natural Language Processing (NLP) tasks

🧠 Multimodal Retrieval-Augmented Generation that "weaves" together text and images seamlessly. 🪡

SuperAnnotate HTTP service for Generated Text Detection

The entry point for adapting, training, evaluating, and leveraging various Large Language Models (LLMs) for a wide range of Ukrainian NLP tasks.

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/

Flippers is a weak supervision library for creating high quality labels using your domain kownledge and weak supervision sources.