List of manual image annotation tools

Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications.

This is a list of computer software which can be used for manual annotation of images.

class="wikitable sortable"
Software ! class=unsortable \|Description ! Platform ! License ! class=unsortable \|References
Computer Vision Annotation Tool (CVAT) \|Computer Vision Annotation Tool (CVAT) is an open source, web-based annotation tool which helps to label video and images for computer vision algorithms. CVAT has many powerful features: interpolation of bounding boxes between key frames, automatic annotation using TensorFlow OD API and deep learning models in Intel OpenVINO IR format, shortcuts for most of critical actions, dashboard with a list of annotation tasks, LDAP and basic authorizations, etc. It was created for and used by a professional data annotation team. UX and UI were optimized especially for computer vision annotation tasks. \|JavaScript, HTML, CSS, Python, Django \|MIT License \|{{Cite web\|url=https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/\|title=Intel open-sources CVAT, a toolkit for data labeling\|date=2019-03-05\|website=VentureBeat\|language=en-US\|access-date=2019-03-09}}{{Cite web\|url=https://software.intel.com/en-us/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation\|title=Computer Vision Annotation Tool: A Universal Approach to Data Annotation\|date=2019-03-01\|website=software.intel.com\|language=en\|access-date=2019-03-09}}{{cite web\|title=Computer Vision Annotation Tool (CVAT) source code on github\|website=GitHub\|url=https://github.com/opencv/cvat\|accessdate=3 March 2019}}
LabelMe \| Online annotation tool to build image databases for computer vision research. \| Perl, JavaScript, HTML, CSS{{cite web\|title=LabelMe Source\|website=GitHub\|url=https://github.com/CSAILVision/LabelMeAnnotationTool\|accessdate=26 January 2017}} \|MIT License \|
TagLab \| Desktop open source interactive software system for facilitating the precise annotation of benthic species in orthophoto of the bottom of the sea. \| Python {{cite web\|title=TagLab Source\|website=GitHub\|url=https://github.com/cnr-isti-vclab/TagLab\|accessdate=5 July 2023}} \|GPL \|{{cite journal \|last1=Pavoni \|first1=Gaia \|last2=Corsini \|first2=Massimiliano \|last3=Ponchio \|first3=Federico \|last4=Muntoni \|first4=Alessandro \|last5=Edwards \|first5=Clinton \|last6=Pedersen \|first6=Nicole \|last7=Sandin \|first7=Stuart \|last8=Cignoni \|first8=Paolo \|date=2022 \|title=TagLab: AI-assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages \|journal=Journal of Field Robotics \|volume=39 \|issue=3 \|pages=246–262 \|doi=10.1002/rob.22049 \|s2cid=244648241}} {{Cite journal \|last1=Costa \|first1=Bryan \|last2=Sweeney \|first2=Edward \|last3=Mendez \|first3=Arnold \|date=October 2022 \|title=Leveraging Artificial Intelligence to Annotate Marine Benthic Species and Habitats \|journal=Noaa Technical Memorandum Nos Nccos \|volume=306 \|doi=10.25923/7kgv-ba52}}
VoTT (Visual Object Tagging Tool) \|Free and open source electron app for image annotation and labeling developed by Microsoft. \|TypeScript/Electron (Windows, Linux, macOS) \|MIT License \|{{Cite web\|url=https://www.zdnet.com/article/free-ai-developer-app-ibms-new-tool-can-label-objects-in-videos-for-you/\|title=Free AI developer app: IBM's new tool can label objects in videos for you\|first=Liam\|last=Tung\|website=ZDNet}}{{Cite web\|url=https://www.sicara.ai/blog/2019-09-01-top-five-open-source-annotation-tools-computer-vision\|title=Best Open Source Annotation Tools for Computer Vision\|website=www.sicara.ai}}{{Cite web\|url=https://www.arafattehsin.com/beyond-sentiment-analysis-object-detection-with-ml-net/\|title=Beyond Sentiment Analysis: Object Detection with ML.NET\|date=September 20, 2020}}{{Cite web\|url=https://github.com/microsoft/VoTT\|title=GitHub - microsoft/VoTT: Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.\|date=November 15, 2020\|via=GitHub}}

class="wikitable sortable"

Software

! class=unsortable |Description

! Platform

! License

! class=unsortable |References

Computer Vision Annotation Tool (CVAT)

|Computer Vision Annotation Tool (CVAT) is an open source, web-based annotation tool which helps to label video and images for computer vision algorithms. CVAT has many powerful features: interpolation of bounding boxes between key frames, automatic annotation using TensorFlow OD API and deep learning models in Intel OpenVINO IR format, shortcuts for most of critical actions, dashboard with a list of annotation tasks, LDAP and basic authorizations, etc. It was created for and used by a professional data annotation team. UX and UI were optimized especially for computer vision annotation tasks.

|JavaScript, HTML, CSS, Python, Django

|MIT License

|{{Cite web|url=https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/|title=Intel open-sources CVAT, a toolkit for data labeling|date=2019-03-05|website=VentureBeat|language=en-US|access-date=2019-03-09}}{{Cite web|url=https://software.intel.com/en-us/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation|title=Computer Vision Annotation Tool: A Universal Approach to Data Annotation|date=2019-03-01|website=software.intel.com|language=en|access-date=2019-03-09}}{{cite web|title=Computer Vision Annotation Tool (CVAT) source code on github|website=GitHub|url=https://github.com/opencv/cvat|accessdate=3 March 2019}}

LabelMe

| Online annotation tool to build image databases for computer vision research.

| Perl, JavaScript, HTML, CSS{{cite web|title=LabelMe Source|website=GitHub|url=https://github.com/CSAILVision/LabelMeAnnotationTool|accessdate=26 January 2017}}

|MIT License

TagLab

| Desktop open source interactive software system for facilitating the precise annotation of benthic species in orthophoto of the bottom of the sea.

| Python {{cite web|title=TagLab Source|website=GitHub|url=https://github.com/cnr-isti-vclab/TagLab|accessdate=5 July 2023}}

|GPL

|{{cite journal |last1=Pavoni |first1=Gaia |last2=Corsini |first2=Massimiliano |last3=Ponchio |first3=Federico |last4=Muntoni |first4=Alessandro |last5=Edwards |first5=Clinton |last6=Pedersen |first6=Nicole |last7=Sandin |first7=Stuart |last8=Cignoni |first8=Paolo |date=2022 |title=TagLab: AI-assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages |journal=Journal of Field Robotics |volume=39 |issue=3 |pages=246–262 |doi=10.1002/rob.22049 |s2cid=244648241}} {{Cite journal |last1=Costa |first1=Bryan |last2=Sweeney |first2=Edward |last3=Mendez |first3=Arnold |date=October 2022 |title=Leveraging Artificial Intelligence to Annotate Marine Benthic Species and Habitats |journal=Noaa Technical Memorandum Nos Nccos |volume=306 |doi=10.25923/7kgv-ba52}}

VoTT (Visual Object Tagging Tool)

|Free and open source electron app for image annotation and labeling developed by Microsoft.

|TypeScript/Electron (Windows, Linux, macOS)

|MIT License

|{{Cite web|url=https://www.zdnet.com/article/free-ai-developer-app-ibms-new-tool-can-label-objects-in-videos-for-you/|title=Free AI developer app: IBM's new tool can label objects in videos for you|first=Liam|last=Tung|website=ZDNet}}{{Cite web|url=https://www.sicara.ai/blog/2019-09-01-top-five-open-source-annotation-tools-computer-vision|title=Best Open Source Annotation Tools for Computer Vision|website=www.sicara.ai}}{{Cite web|url=https://www.arafattehsin.com/beyond-sentiment-analysis-object-detection-with-ml-net/|title=Beyond Sentiment Analysis: Object Detection with ML.NET|date=September 20, 2020}}{{Cite web|url=https://github.com/microsoft/VoTT|title=GitHub - microsoft/VoTT: Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.|date=November 15, 2020|via=GitHub}}

References

Category:Lists of software