CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
A GraphQL library for Python that leverages type annotations π
open source Kubernetes-native API gateway for microservices built on the Envoy Proxy
Annotate with anyone, anywhere.
Images to inference with no labeling (use foundation models to train supervised models).
Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.δΊ€δΊεΌεθͺε¨εΎεζ 注ε·₯ε ·
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
Make your screenshots ready for all
Rapid & standardized annotation of bacterial genomes, MAGs & plasmids
Extracts and formats text annotations from a PDF file
Type annotations builder for boto3 compatible with VSCode, PyCharm, Emacs, Sublime Text, pyright and mypy.
Cell type annotation for single-cell RNA-seq using multi-LLM consensus
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
build GUIs from type annotations
Open Paper is a workbench for managing your research library. Read, annotate, and understand your papers all in one place. Use an AI assistant to conduct your literature review.
π¬ OraRL β Annotations as Rollouts for efficient, scalable reinforcement learning of unified video MLLMs.
Local-first YOLO workbench for annotation, training, evaluation, and AI assistance.
TempoVista is the official implementation of Dyn-3D, a benchmark and training pipeline for 3D spatial reasoning in vision-language models. The release contains frame-selection tools, SFT and Kinematic-GSPO training code, benchmark evaluation scripts, Dyn-3D annotations, and checkpoints for Qwen3-VL and InternVL3.5.
Argus is an open source dataset-and-format-agnostic harness for the densest annotation of robot learning data.
Auditable human-feedback annotation, review, provenance, and frozen training-data export.
Annotation-free multi-animal direction estimation using self-supervised learning
a zero-dependency CLI that snapshots an MCP server's tool surface (names, schemas, descriptions, annotations) and diffs two snapshots to catch breaking changes and "rug pulls."