Software:List of manual image annotation tools
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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.
| Software | Description | Platform | License | References |
|---|---|---|---|---|
| Computer Vision Annotation Tool (CVAT) | Computer Vision Annotation Tool (CVAT) is a free, 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 | [1][2][3] |
| LabelMe | Online annotation tool to build image databases for computer vision research. | Perl, JavaScript, HTML, CSS[4] | 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 [5] | GPL | [6] [7] |
| 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 | [8][9][10][11][12][13] |
References
- ↑ "Intel open-sources CVAT, a toolkit for data labeling" (in en-US). 2019-03-05. https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/.
- ↑ "Computer Vision Annotation Tool: A Universal Approach to Data Annotation" (in en). 2019-03-01. https://software.intel.com/en-us/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation.
- ↑ "Computer Vision Annotation Tool (CVAT) source code on github". https://github.com/opencv/cvat. Retrieved 3 March 2019.
- ↑ "LabelMe Source". https://github.com/CSAILVision/LabelMeAnnotationTool. Retrieved 26 January 2017.
- ↑ "TagLab Source". https://github.com/cnr-isti-vclab/TagLab. Retrieved 5 July 2023.
- ↑ Pavoni, Gaia; Corsini, Massimiliano; Ponchio, Federico; Muntoni, Alessandro; Edwards, Clinton; Pedersen, Nicole; Sandin, Stuart; Cignoni, Paolo (2022). "TagLab: AI-assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages". Journal of Field Robotics 39 (3): 246–262. doi:10.1002/rob.22049.
- ↑ Costa, Bryan; Sweeney, Edward; Mendez, Arnold (October 2022). "Leveraging Artificial Intelligence to Annotate Marine Benthic Species and Habitats". Noaa Technical Memorandum Nos Nccos 306. doi:10.25923/7kgv-ba52.
- ↑ Tung, Liam. "Free AI developer app: IBM's new tool can label objects in videos for you". https://www.zdnet.com/article/free-ai-developer-app-ibms-new-tool-can-label-objects-in-videos-for-you/.
- ↑ Bornstein, Aaron (Ari) (February 4, 2019). "Using Object Detection for Complex Image Classification Scenarios Part 4". https://towardsdatascience.com/using-object-detection-for-complex-image-classification-scenarios-part-4-3e5da160d272.
- ↑ Solawetz, Jacob (July 27, 2020). "Getting Started with VoTT Annotation Tool for Computer Vision". https://blog.roboflow.com/vott/.
- ↑ "Best Open Source Annotation Tools for Computer Vision". https://www.sicara.ai/blog/2019-09-01-top-five-open-source-annotation-tools-computer-vision.
- ↑ "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020. https://www.arafattehsin.com/beyond-sentiment-analysis-object-detection-with-ml-net/.
- ↑ "GitHub - microsoft/VoTT: Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.". November 15, 2020. https://github.com/microsoft/VoTT.
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