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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.
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel , CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.
The first version was released around the year 2000 under the name EAT, Eudico Annotation Tool. It was renamed to ELAN in 2002. Since then, two to three new versions are released each year. It is developed in the programming language Java with interfaces to platform native media frameworks developed in C, C++, and Objective-C.
Also called the "19th annotation exercises" based on a remark of St. Ignatius in the 19th "introductory observation" in his book, the retreat in daily life does not require an extended stay in a retreat house and the learned methods of discernment can be tried out on day-to-day experiences over time. [2]: 19
The annotations can be thought of as a layer on top of the existing resource, and this annotation layer is usually visible to other users who share the same annotation system. In such cases, the web annotation tool is a type of social software tool. For Web-based text annotation systems, see Text annotation.
Townsends is an American educational YouTube channel created and hosted by Jon Townsend.Originally a channel to advertise items for sale from the family's brick and mortar historical reenactment supply store in Pierceton, Indiana, Townsends has become known for its historical mini-documentaries.
seq2HLA is an annotation tool for obtaining an individual's HLA class I and II type and expression using standard NGS RNA-Seq data in fastq format. It comprises mapping RNA-Seq reads against a reference database of HLA alleles using bowtie , determining and reporting HLA type, confidence score and locus-specific expression level.
Keyhole Markup Language (KML) is an XML notation for expressing geographic annotation and visualization within two-dimensional maps and three-dimensional Earth browsers. KML was developed for use with Google Earth, which was originally named Keyhole Earth Viewer. It was created by Keyhole, Inc, which was acquired by Google in 2004.