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.
A GraphQL library for Python that leverages type annotations π
open source Kubernetes-native API gateway for microservices built on the Envoy Proxy
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
Extracts and formats text annotations from a PDF file
Type annotations builder for boto3 compatible with VSCode, PyCharm, Emacs, Sublime Text, pyright and mypy.
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
build GUIs from type annotations
π¬ OraRL β Annotations as Rollouts for efficient, scalable reinforcement learning of unified video MLLMs.
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.
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."