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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 ...
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.
VoTT (Visual Object Tagging Tool) is a free and open source Electron app for image annotation and labeling developed by Microsoft. [1] The software is written in the TypeScript programming language and used for building end-to-end object detection models from image and videos assets for computer vision algorithms.
CellProfiler, a software package for high-throughput image analysis by interactive construction of workflow. The workflow could include ImageJ macro The workflow could include ImageJ macro CVIPtools A complete open-source GUI-based Computer Vision and Image Processing software, with C functions libraries COM based dll along with two utilities ...
3D Slicer is a free open source software (BSD-style license) that is a flexible, modular platform for image analysis and visualization. 3D Slicer is extended to enable development of both interactive and batch processing tools for a variety of applications. [4]
ImageMagick, invoked from the command line as magick, is a free and open-source [3] cross-platform software suite for displaying, creating, converting, modifying, and editing raster images. ImageMagick was created by John Cristy in 1987, it can read and write over 200 image file formats. It is widely used in open-source applications.
The LabelMe annotation tool provides a means for users to contribute to the project. The tool can be accessed anonymously or by logging into a free account. To access the tool, users must have a compatible web browser with JavaScript support. When the tool is loaded, it chooses a random image from the LabelMe dataset and displays it on the screen.
digiKam has been in development since before 2006. As of version 0.9 features include a GPS locator [9] and synchronization, [10] iPod Photo upload support, [11] an advanced metadata editor, [12] better support for raw image formats (using dcraw included in digiKam), full color management, a light-table, [13] pan-tool in Image Editor and Preview mode, improvements in usability, and many new ...