Label Studio
Label Studio is an open source data labeling tool that supports multiple projects, users, and data types in one platform. It allows for different types of labeling with various data formats and integrates with M/L backends. It's a flexible platform for fine-tuning LLMs, preparing training data, or validating AI models.
Open source data labeling tool for various data types and M/L integration.
- Computer Vision: Image classification, object detection, semantic segmentation
- Audio & Speech Applications: Classification, speaker diarization, emotion recognition, audio transcription
- NLP, Documents, Chatbots, Transcripts: Classification, named entity recognition, question answering, sentiment analysis
- Robots, Sensors, IoT Devices: Classification, segmentation, event recognition
- Multi-Domain Applications: Dialogue processing, optical character recognition, time series with reference
- Video: Classification, object tracking, assisted labeling
- GenAI: LLM Fine-Tuning, LLM Evaluations, RAG Evaluation
- Label Studio can be installed via PIP
- Brew
- Git
- or Docker. After installation
- you can launch the tool
- import data
- create projects
- and start labeling using customizable tags and templates.
Open-Source Self-Hosted AI Assistant
A hub for open-source generative AI models and a community for AI art creators.
SOTA AI for precise image editing, text rendering, and photo restoration.
DeepSeek is an AI company providing foundation models and APIs for AI applications.
LAION is a non-profit providing open machine learning datasets, tools, and models.
Open-source fine-tuning & reinforcement learning for LLMs. 🦥
Reka is an agentic multimodal AI platform for visual understanding and data insights.
Private AI chat with 20+ open-source models, focused on data privacy.
Open-source platform to build, manage, and run autonomous AI agents.
