Showing 698 open source projects for "annotation"

View related business solutions
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 1
    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: 12 This Week
    Last Update:
    See Project
  • 2
    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: 36 This Week
    Last Update:
    See Project
  • 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: 2 This Week
    Last Update:
    See Project
  • 4
    Doctrine Annotations

    Doctrine Annotations

    Annotations docblock parser

    ...Otherwise, please take a look to the other annotation autoload mechanisms.
    Downloads: 0 This Week
    Last Update:
    See Project
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 5
    X-AnyLabeling

    X-AnyLabeling

    Effortless data labeling with AI support from Segment Anything

    X-AnyLabeling is an open-source data annotation platform designed to streamline the process of labeling datasets for computer vision and multimodal AI applications. The software integrates an AI-powered labeling engine that allows users to generate annotations automatically with the assistance of modern vision models such as Segment Anything and various object detection frameworks.
    Downloads: 7 This Week
    Last Update:
    See Project
  • 6
    Cluster

    Cluster

    Easy Map Annotation Clustering

    Cluster is an easy map annotation clustering library. This repository uses an efficient method (QuadTree) to aggregate pins into a cluster. Create an object that conforms to the MKAnnotation protocol, or extend an existing one. Next, add the annotation object to an instance of ClusterManager with add(annotation:). Implement the map view’s mapView(_:viewFor:) delegate method to configure the annotation view.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    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: 14 This Week
    Last Update:
    See Project
  • 8
    Kotlin Compile Testing

    Kotlin Compile Testing

    Testing Kotlin and Java annotation processors, compiler plugins

    A library for in-process compilation of Kotlin and Java code, in the spirit of Google Compile Testing. For example, you can use this library to test your annotation processor or compiler plugin.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    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: 0 This Week
    Last Update:
    See Project
  • Application Monitoring That Won't Slow Your App Down Icon
    Application Monitoring That Won't Slow Your App Down

    AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

    Full APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
    Start Free
  • 10
    Prokka

    Prokka

    Rapid prokaryotic genome annotation

    Prokka is a command-line software tool for rapid annotation of prokaryotic genomes (bacteria and archaea). Given a FASTA file of contigs, it predicts genes, rRNAs, tRNAs, and other functional elements, then assigns functions by comparing to reference protein databases and HMM profiles. It outputs GenBank, GFF, and other formats compatible with downstream tools and genome browsers. Prokka handles common complications—overlapping ORFs, frameshifts, alternate start codons—while providing customizable databases so researchers can bias domain or strain-specific annotations. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Kotshi

    Kotshi

    An annotation processor that generates Moshi adapters

    ...It will automatically regenerate the adapters when you modify your class. It's made to work with minimal setup, through there are limitations. Most of the limitations will be addressed as the support for Kotlin annotation processors improves.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 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: 3 This Week
    Last Update:
    See Project
  • 13
    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: 0 This Week
    Last Update:
    See Project
  • 14
    vcf2maf

    vcf2maf

    Convert a VCF into a MAF

    vcf2maf is a Perl-based tool developed by the Memorial Sloan Kettering Cancer Center to convert Variant Call Format (VCF) files into Mutation Annotation Format (MAF) files. This conversion standardizes variant annotations, facilitating downstream analyses in cancer genomics. ​
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    serde_with

    serde_with

    This crate provides custom de/serialization helpers

    This crate provides custom de/serialization helpers to use in combination with serde's with-annotation and with the improved serde_as-annotation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    SmartSql

    SmartSql

    SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis)

    SmartSql is a lightweight, high-performance ORM for .NET inspired by MyBatis. It provides a hybrid approach that separates SQL from application code while supporting dynamic queries, mapping, and caching. With XML or annotation-based configuration, SmartSql is designed to balance control and productivity for .NET developers.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 17
    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: 2 This Week
    Last Update:
    See Project
  • 18
    Gitember 2

    Gitember 2

    Gitember another git GUI client written on javafx

    November, December, Gitember. Just another GIT gui client just for fun. Full-text search across history, including binary files. Search in open files. Add change annotation, and branch differences with item details. Add an overview for different components. Added LFS support. With SSH only. Fast file compare, the text flow changed to rich text fx. Mass operations - delete, stage, unstage, and revert.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 19
    ggforce

    ggforce

    Accelerating ggplot2

    ggforce is an extension package for ggplot2 that introduces specialized statistical transforms, geoms, and layout utilities to enhance and complement the built-in ggplot2 offerings. It enables more advanced visualization techniques such as faceting enhancements, hulls, annotation marks, and novel layouts for network data and marked regions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    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: 0 This Week
    Last Update:
    See Project
  • 21
    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: 0 This Week
    Last Update:
    See Project
  • 22
    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: 0 This Week
    Last Update:
    See Project
  • 23
    Erupt Framework

    Erupt Framework

    Pure Java annotation, single class file, rapid development

    ...Erupt is a low-code full-stack class framework that uses Java annotations to dynamically generate pages and background functions such as adding, deleting, modifying, checking, and permission control. Zero front-end code, zero CURD, automatic table creation, only one class file + simple annotation configuration, quickly develop enterprise-level Admin management background.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 24
    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: 1 This Week
    Last Update:
    See Project
  • 25
    Auto

    Auto

    A collection of source code generators for Java

    ...Some of Auto subprojects are AutoFactory, JSR-330-compatible factories, AutoService, provider-configuration files for ServiceLoader, AutoValue, immutable value-type code generation for Java 7+, and Common, helper utilities for writing annotation processors. Auto is licensed under the Apache License, Version 2.0.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • 2
  • 3
  • 4
  • 5
  • Next
MongoDB Logo MongoDB