Search Results for "annotation"
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Showing 699 open source projects for "annotation"
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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Field Sales+ for MS Dynamics 365 and SalesforceBring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
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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. -
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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. -
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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. -
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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. -
Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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Doctrine Annotations
Annotations docblock parser
...Otherwise, please take a look to the other annotation autoload mechanisms. -
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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. -
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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. -
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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. -
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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. ... -
Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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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. ... -
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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. -
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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. -
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Showkase
Annotation-processor based Android library
Showkase is an Android library developed by Airbnb that helps teams organize, visualize, and manage their Jetpack Compose UI components through an automatically generated component browser. It uses annotation processing to scan the codebase and build a structured interface where developers can explore all composables, colors, and typography in one place. This significantly improves discoverability and reuse of UI elements, which is often a major challenge in large codebases with hundreds of components. Showkase also renders components under different conditions such as dark mode, right-to-left layouts, and scaled fonts, allowing developers to identify issues early in the development process. ... -
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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. ... -
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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. -
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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. -
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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. -
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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. -
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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. -
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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. ... -
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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. -
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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. -
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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. -
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Datumaro
Dataset Management Framework, a Python library and a CLI tool to build
...It supports importing and exporting annotations and images across a wide variety of standards like COCO, PASCAL VOC, YOLO, ImageNet, Cityscapes, and many more, enabling easy integration with different training pipelines and tools. Datumaro makes it easy to merge datasets, split them into training/validation/test subsets, filter or transform annotations, and validate annotation quality — all while preserving metadata and supporting detailed statistics. It’s especially useful when you’re dealing with heterogeneous data sources or need to prepare complex datasets for machine learning workflows, freeing you from writing custom scripts for every format conversion. -
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dgs-framework
GraphQL for Java with Spring Boot made easy
The DGS Framework (Domain Graph Service) is a GraphQL server framework for Spring Boot, developed by Netflix. Annotation based Spring Boot programming model. Test framework for writing query tests as unit tests. Gradle Code Generation plugin to create types from schema. Easy integration with GraphQL Federation. Integration with Spring Security. GraphQL subscriptions (WebSockets and SSE). File uploads, error handling, and many extension points. The DGS framework project started at Netflix in 2019 as internal teams began developing multiple GraphQL services. ...
