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Showing 89 open source projects for "annotation"

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  • 1
    Computer Vision Annotation Tool (CVAT)

    Computer Vision Annotation Tool (CVAT)

    Interactive video and image annotation tool for computer vision

    ...The UX and UI were also specially developed by the team for computer vision tasks. CVAT supports several annotation formats. Format selection can be done after clicking on the Upload annotation and Dump annotation buttons.
    Downloads: 32 This Week
    Last Update:
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  • 2
    labelme Image Polygonal Annotation

    labelme Image Polygonal Annotation

    Image polygonal annotation with Python

    Labelme is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Image annotation for polygon, rectangle, circle, line and point. Image flag annotation for classification and cleaning. Video annotation. (video annotation). GUI customization (predefined labels / flags, auto-saving, label validation, etc). Exporting VOC-format dataset for semantic/instance segmentation.
    Downloads: 10 This Week
    Last Update:
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  • 3
    doccano

    doccano

    Open source annotation tool for machine learning practitioners

    doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence-to-sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.
    Downloads: 8 This Week
    Last Update:
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  • 4
    Label Sleuth

    Label Sleuth

    Open source no-code system for text annotation and building of text

    An open-source no-code system for text annotation and building text classifiers. No AI knowledge needed. From task definition to working model in just a few hours! While domain experts label their data, Label Sleuth automatically trains in the background-appropriate machine learning models. To avoid wasted labeling effort, Label Sleuth employs active learning techniques to guide the user in what they should be labeled next.
    Downloads: 6 This Week
    Last Update:
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  • 5
    Label Studio

    Label Studio

    Label Studio is a multi-type data labeling and annotation tool

    The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Detect objects on image, bboxes, polygons, circular, and keypoints supported. Partition image into multiple segments. Use ML models to pre-label and optimize the process. Label Studio is an open-source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. ...
    Downloads: 19 This Week
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  • 6
    Data Annotator for Machine Learning

    Data Annotator for Machine Learning

    Data annotator for machine learning

    Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning. Data Annotator for Machine Learning (DAML) is an application that helps machine learning teams facilitate the creation and management of annotations. Active learning with uncertain sampling to query unlabeled data. Project tracking with real-time data aggregation and review process. User management panel with role-based access control.
    Downloads: 2 This Week
    Last Update:
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  • 7
    Plannotator

    Plannotator

    Annotate and review coding agent plans visually, share with your team

    Plannotator is an interactive plan review and annotation tool built to support AI coding agents, offering a visual UI for markup, refinement, and team collaboration around agent-generated plans. It allows developers to annotate proposed plans, sketches, and outlines from tools like Claude Code or OpenCode with pen tools, arrows, and highlighting, seamlessly capturing feedback that can be shared across teams or pushed back to agents.
    Downloads: 4 This Week
    Last Update:
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  • 8
    Diffgram

    Diffgram

    Training data (data labeling, annotation, workflow) for all data types

    ...This is aimed to reduce your data labeling bills and increase your Training Data Quality. Training Data is the art of supervising machines through data. This includes the activities of annotation, which produces structured data; ready to be consumed by a machine learning model. Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition.
    Downloads: 16 This Week
    Last Update:
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  • 9
    Argilla

    Argilla

    The open-source data curation platform for LLMs

    ...Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. ...
    Downloads: 4 This Week
    Last Update:
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  • 10
    Discourse Network Analyzer (DNA)

    Discourse Network Analyzer (DNA)

    Discourse Network Analyzer (DNA)

    The Java software Discourse Network Analyzer (DNA) is a qualitative content analysis tool with network export facilities. You import text files and annotate statements that persons or organizations make, and the program will return network matrices of actors connected by shared concepts.
    Downloads: 8 This Week
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  • 11
    Techniques

    Techniques

    Techniques for deep learning with satellite & aerial imagery

    This repository is a comprehensive, curated collection of deep learning techniques and best practices specifically applied to satellite and aerial imagery. It covers everything from preprocessing and annotation to model architectures and open datasets. The guide includes code snippets, links to research papers, and hands-on tools, making it valuable for researchers, engineers, and enthusiasts working in remote sensing and geospatial AI.
    Downloads: 1 This Week
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  • 12
    Segment Anything

    Segment Anything

    Provides code for running inference with the SegmentAnything Model

    ...The architecture separates a powerful image encoder from a lightweight mask decoder, so the heavy vision work can be computed once and the interactive part stays fast. A bundled automatic mask generator can sweep an image and propose many object masks, which is useful for dataset bootstrapping or bulk annotation. The repository includes ready-to-use weights, Python APIs, and example notebooks demonstrating both interactive and automatic modes. Because SAM was trained with an extremely large and diverse mask dataset, it tends to generalize well to new domains, making it a practical starting point for research and production annotation tools.
    Downloads: 1 This Week
    Last Update:
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  • 13
    sktime

    sktime

    A unified framework for machine learning with time series

    sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation, and forecasting. It comes with time series algorithms and scikit-learn compatible tools to build, tune and validate time series models. Our objective is to enhance the interoperability and usability of the time series analysis ecosystem in its entirety. sktime provides a unified interface for distinct but related time series learning tasks. ...
    Downloads: 1 This Week
    Last Update:
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  • 14
    FiftyOne

    FiftyOne

    The open-source tool for building high-quality datasets

    ...Use it to get hands-on with your data, including visualizing complex labels, evaluating your models, exploring scenarios of interest, identifying failure modes, finding annotation mistakes, and much more! Surveys show that machine learning engineers spend over half of their time wrangling data, but it doesn't have to be that way.
    Downloads: 8 This Week
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  • 15
    agentation

    agentation

    The visual feedback tool for agents

    Agentation is a visual annotation and feedback tool designed to make interacting with AI coding agents more intuitive and precise by letting developers visually click on frontend elements in a browser and annotate them with context before sending structured feedback to an agent. Instead of describing UI elements in text — like “the blue button in the sidebar” — users click directly on elements to automatically capture selectors, positions, and contextual metadata that can be consumed by AI agents to locate exact code references. ...
    Downloads: 4 This Week
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  • 16
    refinery

    refinery

    Open-source choice to scale, assess and maintain natural language data

    The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact. You are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate your labeling, find low-quality subsets in your training data, and monitor your data in one place. refinery doesn't get rid of manual labeling, but it makes sure that your valuable time is spent well. Also, the makers...
    Downloads: 2 This Week
    Last Update:
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  • 17
    SAM 2

    SAM 2

    The repository provides code for running inference with SAM 2

    ...The updated model is optimized for faster inference and lower memory use, enabling real-time interactivity even on larger images or constrained hardware. SAM2 comes with pretrained weights and easy-to-use APIs, enabling developers and researchers to integrate promptable segmentation into annotation tools, vision pipelines, or downstream tasks. The project also includes scripts and notebooks to compare SAM2 against SAM on edge cases, benchmarks showing improvements, and evaluation suites to measure mask quality metrics like IoU and boundary error.
    Downloads: 2 This Week
    Last Update:
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  • 18
    Director

    Director

    AI video agents framework for next-gen video interactions

    Director is a video database management system designed to organize, search, and retrieve large collections of video content efficiently.
    Downloads: 1 This Week
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  • 19
    shuyuan

    shuyuan

    Reading book source

    ...The name suggests “academy” or “study hall,” and the tool aims to help users ingest, organize, and manage reading content — possibly offering features like text parsing, annotation, metadata generation, translation, or storage for later reference. The repository is set up to support document ingestion, indexing, and maybe some AI-aided summarization or lookup functions, which helps users convert large text corpora into a structured, searchable knowledge base. For learners, researchers, or avid readers, Shuyuan offers a way to bridge from plain text files or eBooks into a manageable, interactive resource — one where notes, references, and reading progress can be tracked. ...
    Downloads: 0 This Week
    Last Update:
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  • 20
    HunyuanWorld-Voyager

    HunyuanWorld-Voyager

    RGBD video generation model conditioned on camera input

    HunyuanWorld-Voyager is a next-generation video diffusion framework developed by Tencent-Hunyuan for generating world-consistent 3D scene videos from a single input image. By leveraging user-defined camera paths, it enables immersive scene exploration and supports controllable video synthesis with high realism. The system jointly produces aligned RGB and depth video sequences, making it directly applicable to 3D reconstruction tasks. At its core, Voyager integrates a world-consistent video...
    Downloads: 48 This Week
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  • 21
    Readest

    Readest

    Readest is a modern, feature-rich ebook reader

    Readest is a project meant to facilitate reading, studying, or consuming content by integrating reading tools with AI-powered assistance. Although the repository is not as widely documented or popular as some, the idea is that Readest supports features to help with reading comprehension — likely combining OCR / text retrieval, translation, note-taking, or summarization for reading materials (eBooks, articles, PDFs). The goal appears to be to let users feed in arbitrary reading material and...
    Downloads: 14 This Week
    Last Update:
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  • 22
    Recogito JS

    Recogito JS

    A JavaScript library for text annotation

    A JavaScript library for text annotation. Use it to add annotation functionality to a web page, or as a toolbox for building your own, completely custom annotation apps. Try the online demo or see the API reference.
    Downloads: 0 This Week
    Last Update:
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  • 23
    Dify

    Dify

    One API for plugins and datasets, one interface for prompt engineering

    ...Out-of-the-box web sites supporting form mode and chat conversation mode A single API encompassing plugin capabilities, context enhancement, and more, saving you backend coding effort Visual data analysis, log review, and annotation for applications
    Downloads: 21 This Week
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  • 24
    CodeGeeX

    CodeGeeX

    CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

    ...It has been benchmarked on HumanEval-X, a multilingual program synthesis benchmark introduced alongside the model, and achieves state-of-the-art performance compared to other open models like InCoder and CodeGen. CodeGeeX also powers IDE plugins for VS Code and JetBrains, offering features like code completion, translation, debugging, and annotation. The model supports Ascend 910 and NVIDIA GPUs, with optimizations like quantization and FasterTransformer acceleration for faster inference.
    Downloads: 9 This Week
    Last Update:
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  • 25
    MONAI

    MONAI

    AI Toolkit for Healthcare Imaging

    The MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. Project MONAI also includes MONAI Label, an intelligent open source image labeling and learning tool that helps researchers and clinicians collaborate, create...
    Downloads: 8 This Week
    Last Update:
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