Lightweight AI-Powered Auto Labeling Tool - Fast, Intelligent, and Designed for Seamless Annotation

A multimodal OCR annotation framework powered by open large language models (LLMs) such as OpenAI, Qwen, Gemini, Claude, Mistral, and Grok. Supports auto-labeling and export in JSONL, COCO, and TSV formats.

Awesome (Image/Video) Interactive Segmentation for Auto Labeling and Annotation

Rex-Omni Auto-Labeling Service is a modular image annotation pipeline based on the multimodal Rex-Omni model. It automates labeling for object detection, visual prompting, keypoint estimation, and OCR, supporting both batch processing and interactive workflows.

Browser-based image annotation tool with YOLO auto-labeling and YOLO-format export.

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This notebook delivers a full end-to-end pipeline using Autodistill + Grounded SAM to generate segmentation-based annotations from video frames, convert them to YOLO bounding boxes, and fine-tune a YOLOv8 model all inside a single environment.

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Web-based data labeling tool with auto-snap and auto-annotation

Image auto-labeling, annotation, and segmenting tool using SAM3

tool for auto labeling, conversion and augmentation for darknet YOLO (and other annotation formats)

Comprehensive Image Preprocessing Tool, including Transformations, Augmentations, and Hough Circle Transformation with Auto-Labeling/Annotation.

A YOLOv11-based auto-labeling tool with train-from-scratch and pre-trained model modes for iterative image annotation.

Build a production-style auto-annotation system that uses machine pre-labeling + human review to create high-quality training labels faster, cheaper, and with full auditability—mirroring the workflows used in e-commerce governance and content moderation (e.g., TikTok Shop GNE).