{"best_for":["Software companies building AI products","Machine learning engineering teams","Data scientists","Medical AI researchers"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/labellerr","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/labellerr.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-027.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: labellerr (https://aitoolsforbusiness.ai/labellerr)"},"features":["Multi-Modal Data Support: Supports annotation for images, videos, text, audio, PDFs, DICOM, LiDAR, and NIfTI formats.","Automated Labeling Tools: Includes prompt-based labeling, model-assisted labeling, and active learning automation to help reduce manual work.","SAM Segmentation: Uses Segment Anything Model (SAM and SAM 2) tools to create object masks in images and videos.","Smart QA and Analytics: Provides pre-trained model-based and ground-truth quality assurance tools to monitor label accuracy.","MLOps Integrations: Supports connection with AI development environments including GCP Vertex AI, AWS Sagemaker, and Azure ML.","Enterprise Security: Includes AES-256 encryption, Auth0 authentication, and options for private cloud or on-premise hosting."],"freshness_status":"fresh","name":"labellerr","pricing_note":"Offers a free Researcher Plan (2,500 credits, 1 seat). The Pro Plan is $499/month for 50,000 credits and 10 seats, with additional seats costing $29-49 per user monthly.","pricing_url":"https://labellerr.com/pricing","primary_category":"Data & Analytics","profile_last_verified":"2026-06-05T19:51:01.170Z","secondary_categories":[],"short_description":"Labellerr is a data labeling platform that supports image, video, text, and audio annotation for teams building machine learning models.","slug":"labellerr","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/labellerr","use_cases":["Computer Vision Training: Annotating images and videos for object detection and instance segmentation.","Medical Imaging Analysis: Using DICOM tools for annotation of medical data.","LLM Fine-Tuning: Preparing text datasets and transcripts for large language model training.","Autonomous Systems Development: Labeling LiDAR and video data for automotive or robotics applications.","Content Classification: Using text annotation for sentiment analysis and named entity recognition."],"website_url":"https://labellerr.com/"}