Search Results for "annotation"
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Showing 711 open source projects for "annotation"
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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. -
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Doctrine Annotations
Annotations docblock parser
...Otherwise, please take a look to the other annotation autoload mechanisms. -
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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 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. ... -
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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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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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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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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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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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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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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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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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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. -
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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. -
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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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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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Ian Xiaohei Illustrations
Chinese Little Black Weird Text Illustration Generation Skill
...The skill is not a generic illustration prompt pack, because it gives AI agents a specific visual system to follow. Its default style uses a 16:9 white-background composition with rough hand-drawn lines and small red, orange, or blue annotation marks. It is especially useful for knowledge creators who want recognizable article visuals without designing from scratch. The project works as a reusable creative instruction layer for AI-assisted content production. -
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Atmosphere
Real-time transport layer for Java AI agents
Atmosphere is a Java framework for building streaming AI agents on the JVM. It lets developers declare agent behavior with an @Agent annotation while the framework handles transport, streaming, tool calls, memory, reconnect behavior, authorization, and observability. A single agent can be exposed over WebSocket, Server-Sent Events, long polling, gRPC, and WebTransport over HTTP/3 depending on the modules included. It also supports agent-facing protocols such as MCP, A2A, and AG-UI, along with external messaging channels such as Slack, Telegram, Discord, WhatsApp, and Messenger. ... -
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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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babel-plugin-styled-components
Improve the debugging experience and add server-side rendering support
This plugin is a highly recommended supplement to the base styled-components library, offering some useful features. Consistently hashed component classNames between environments (a must for server-side rendering). Better debugging through automatic annotation of your styled components based on their context in the file system, etc. Various types of minification for styles and the tagged template literals styled components uses. -
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KSP
Kotlin Symbol Processing API
KSP is Kotlin’s lightweight, idiomatic alternative to Java annotation processing that gives compile-time access to Kotlin program structure. Rather than forcing Kotlin through Java’s annotation APIs, it exposes Kotlin-first symbols—classes, functions, properties, types—so processors can generate code efficiently. The design dramatically reduces incremental build overhead by operating directly on symbols without compiling stubs, which speeds up large multi-module projects. ...
