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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.
Samasource Impact Sourcing, Inc., also known as Samasource and Sama, is a training-data company, focusing on annotating data for artificial intelligence algorithms. [2] [3] [4] The company offers image, video, and sensor data annotation and validation for machine learning algorithms in industries including automotive, navigation, augmented reality, virtual reality, biotechnology, agriculture ...
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.
Playment is an Indian data labeling platform which helps machine learning engineers build high quality ground truth datasets for training and validating machine learning models. It breaks down large problems into micro-tasks and distributes among its large community of trained annotators.
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.
ImageNet crowdsources its annotation process. Image-level annotations indicate the presence or absence of an object class in an image, such as "there are tigers in this image" or "there are no tigers in this image". Object-level annotations provide a bounding box around the (visible part of the) indicated object.
Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.
[citation needed] The idea of the game survives as an art annotation game in ARTigo. Google relaunched Image Labeler in 2016. The new service is less like a game. The user picks a category and they are shown a set of images. They go through each image and state whether it has been correctly categorised.