15 recommended open source free image annotation tools

Image annotation is the process of associating labels or descriptive information with images to give deeper meaning and explanation to the image content. This process is critical to machine learning, which helps train vision models to more accurately identify individual elements in images. By adding annotations to images, the computer can understand the semantics and context behind the images, thereby improving the ability to understand and analyze the image content. Image annotation has a wide range of applications, covering many fields, such as computer vision, natural language processing and graphs. Vision models have a wide range of applications, such as assisting vehicles in identifying obstacles on the road and helping in the detection of diseases. and diagnosis through medical image recognition.

This article mainly recommends some better open source and free image annotation tools.

1.Makesense.ai

##https://www.php.cn/link/9e411b2d0cbcc1d9cd8775e89e96774f

https://www.php.cn/link/47af10edfc4c96329531345635a4baa9

##Makesense.ai is a free online cross-platform Platform tool for labeling photos, ideal for small computer vision deep learning projects. It simplifies dataset preparation and labels can be downloaded in multiple formats. The application is written in TypeScript and developed based on the React/Redux framework. It integrates advanced AI models such as YOLOv, SSD pre-trained on the COCO dataset, and PoseNet to automate image annotation. The AI ​​function is based on the TensorFlow.js framework, which ensures data privacy and security because the photos do not need to be transmitted to the server.

2.Labelme

https://www.php.cn/link/fd8979ada2fd5bab05e9c5f035a5c4c7

Labelme is a Python-based image annotation tool that supports various annotation types and provides a custom GUI. Datasets in VOC and COCO formats can be exported for semantic and instance segmentation.

Functional features:

• Supports polygon, rectangle, circle, line, point and image-level mark annotation
• Applies to Ubuntu, macOS and Windows
• Annotation information is saved as a JSON file
• Advanced usage examples
• Assign markers to the entire image
• Assign labels to individual faces

3.Xtreme1

https://www.php.cn/link/ae9ed3423e5d1c1fe8769d705207f040

##Xtreme1 is an open source tool for labeling multi-modal training data The platform improves the efficiency of data annotation, management and ontology management. Its artificial intelligence tools are designed to improve the efficiency of 2D/3D object detection, 3D instance segmentation and lidar camera fusion projects.

Features:

Supports data annotation of images, 3D LiDAR and 2D/3D sensor fusion datasets
• Built-in pre-labeled and interactive models support 2D/ 3D object detection, segmentation and classification
• Configurable ontology center for general classes (with hierarchy) and attributes for model training
• Data management and quality monitoring
• Tools for finding and fixing label errors
• Visualization of model results to assist model evaluation
• RLHF for large language models (beta)
• Easy to use with Docker or from Source code installation

4.Label Studio

https://www.php.cn/link/359f449e012b58f30cbc80ea8b9e794a

Label Studio is an open source tool that can be used to label data types such as audio, text, images, videos, and time series.

It has a user-friendly interface, can export data in standardized formats, supports integrated machine learning models, and can be customized for specific projects.
• It is based on the Apache-2.0 open source license.

5.LOST

https://www.php.cn/link/254b6cccc84a3b7e5c696e67c9ef656e

LOST (Label Object and Save Time) is a web-based image collaborative annotation tool. It provides pre-built annotation pipelines for on-the-fly image annotation without programming knowledge, but also allows users to define annotation pipelines.

The application is extensible and can easily connect to external file systems such as S3 Bucket or Azure Blobstorage. It can be set up locally or on a web server, and supports organizations to build tag trees, monitor the tagging process and in-browser tagging.

Key features:

• Web-based collaborative image annotation framework
• Pre-built annotation pipeline for on-the-fly image annotation
• Customized annotation pipeline
• Extensible application
• Easily connect to external file systems such as S3 Bucket or Azure Blobstorage
• Visualize the annotation process in the browser
• Configurable locally or on a web server
• Support organizing tag trees
• Monitor the annotation process
• Support in-browser annotation
• Ability to model semi-automatic annotation pipelines
• Annotation suggestion generation
• Single image annotation tool (SIA), used to annotate bboxes, polygons, points or lines
• Multi image annotation tool (MIA), used to annotate the entire image cluster
• Export labeling functions
• Personal and project-based labeling statistics
• Colored tag tree for label organization
• View labeling functions
• Pipeline projects Import and export
• Pipeline project sharing
• Integrate Jupyter-Lab, easy development of pipelines
• LDAP integration
• Email notification
• Extensible Designed to distribute intensive computing processes across multiple machines

6.CVAT

##https://www.php.cn/link/ 4d91e93c7905243a769485162b66e3dc

##CVAT (Computer Vision Annotation Tool) is an interactive tool for video and image annotation, widely used in computer vision. It supports a data-centric approach to artificial intelligence and is available online for free or with subscription for additional features. CVAT can also be installed privately and provides enterprise support for advanced features.

7.Gromit-MPX

https://www.php.cn/link/388ac20c845a327f97edece8acba6237

Gromit-MPX is an annotation tool for Unix desktop environments that allows users to draw directly on the screen and highlight points of interest to enhance presentations.

8.MyVision

https://www.php.cn/link/6afea581e2d33bf935e94036b41979b2

##

MyVision is a free online image annotation tool used to generate machine learning training data for computer vision. Supports drawing bounding boxes and polygons for object annotation, polygon operations, and supports various dataset formats. It also supports automatic annotation using the "COCO-SSD" model, which can be operated locally to ensure data privacy and security.

Supported data formats:

Functional features:

• Draw bounding boxes and polygons for object annotations
• Use features for polygon operations to edit, remove and add new points
• Supports various dataset formats
• Supports automatic annotation using the "COCO-SSD" model
• Runs locally to maintain data privacy
• Allows import and continued processing of existing annotation projects
• Can be used to convert datasets from one format to another

9.LabelImg

https://www.php.cn/link/112a8e92dcedcda4237de18e9126b2d2

LabelImg is a popular image annotation tool that has joined the Label Studio community and is no longer actively developed. Label Studio is a flexible open source data labeling tool for various types of data, including images, text, audio, video and time series data.

The annotation information in LabelImg is saved in PASCAL VOC format. In addition, it also supports YOLO and XML formats.

10.Coco Annotator

https://www.php.cn/link/e3743b463beb38a2a24eebe5ecbad410

COCO Annotator is an efficient and versatile web-based image labeling tool designed to create datasets for training image localization and object detection.

Features it provides include segment marking, object instance tracking, and marking objects with disconnected visible parts. It stores and exports notes in COCO format through an intuitive and customizable interface.

Functional features:

• We-based tools
• Efficient and versatile image labeling
• Designed for the creation of training data for image localization and object detection
• Segment labeling
• Object Instance Tracking
• Mark objects with broken visible parts
• Store and export comments in COCO format
• Intuitive and customizable interface
• Allows the user to manually define areas in the image
• Create text descriptions
• Object labeling via bounding boxes, masking tools, or marker points
• Freeform curves or Polygon annotations
• Direct export to COCO format
• Segmentation of objects
• Ability to add keypoints
• Useful API endpoints for data analysis
• Import a dataset in COCO format
• Label disconnected objects as single instances
• Label image fragments with any number of labels simultaneously
• Allows for each Instance or object custom metadata
• Advanced selection tools such as DEXTR, MaskRCNN, and Magic Wand
• Annotate images with semi-trained models
• Generate dataset using Google Images
• User Authentication System

11.Universal Data Tool

https://www.php.cn/link/c4dc035d67bc669546c560622ac4bdd4

Universal Data Tool is a versatile application for editing and annotating data types such as images, text, audio, and documents. It supports tasks such as image segmentation, text classification, and audio transcription. The tool enables real-time collaboration, runs on a variety of platforms, and supports multiple data formats.

12.RectLabel

https://www.php.cn/link/1b31a4f23c784d5b162a3066fa9aaf4f

#Label is an offline image annotation tool that can be used for object detection and segmentation.

Key features:

• Labeling faces and pixels using the Segment Anything model
• Automatic tagging using the Core ML model
• Automatic text recognition of lines and words
• Labeling faces using holes
• Label cubic Bezier curves, line segments and points
• Label-oriented bounding boxes in aerial imagery
• Use skeletons to mark key points
• Use brushes and hyper Pixel Label Pixel
• Quickly set objects, properties, hotkeys and labels
• Search for objects, properties and image names in the gallery view
• Export to COCO, Labelme, COML, YOLO, DOTA and CSV formats
• Export indexed color mask images and grayscale mask images
• Videos to image frames, enhanced images, etc.

13.OpenLabeling

https://www.php.cn/link/03c4207fa67ee3ea4f42c748980eda86

OpenLabeling is an open source tool for labeling images and videos. It supports multiple formats such as PASCAL VOC and YOLO Darknet.

This tool has been used for: deep learning object detection models, interference-aware Siamese networks for visual object tracking, bounding box tracking, and the OpenCV tracker for video object tracking.

14.bbox-visualizer

https://www.php.cn/link/ed71773d43d53fa70ecf593c6582d9cc

bbox-visualizer helps users draw bounding boxes around objects, eliminating the need for complex mathematical calculations of label positioning. It provides various visualization types for labeling objects after recognition. The data format of bounding box points is: (xmin, ymin, xmax, ymax).

15.PixelAnnotationTool

https://www.php.cn/link/2e3e809d4082093c8bbf499ae9966cfc

PixelAnnotationTool is a tool that can quickly manually annotate images in a directory using OpenCV's watershed algorithm.

Users can manually mark areas with a brush and then start the algorithm. If the initial segmentation needs correction, the user can redraw new region annotations over the erroneous regions.

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