Results 21 to 30 of about 496,156 (331)
An approach for image annotation automatization for artificial intelligence models learning
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2020 The article provides an analysis of image annotation process for artificial intelligence models within modern detection systems learning using modern tools for annotation.
A. Yakovlev, O. Lisovychenko
doaj +1 more source
IEEE Access, 2022 Every day, websites and personal archives generate an increasing number of photographs. The extent of these archives is unfathomable. The ease of usage of these enormous digital image collections contributes to their popularity. However, not all of these
Myasar Mundher Adnan +5 more
doaj +1 more source
AgriEngineering, 2023 Object detection is one of the most promising research topics currently, whose application in agriculture, however, can be challenged by the difficulty of annotating complex and crowded scenes. This study presents a brief performance assessment of YOLOv7,
Wenan Yuan
doaj +1 more source
Deep Convolutional Neural Network with KNN Regression for Automatic Image Annotation
Applied Sciences, 2021 Automatic image annotation is an active field of research in which a set of annotations are automatically assigned to images based on their content. In literature, some works opted for handcrafted features and manual approaches of linking concepts to ...
Ramla Bensaci +3 more
doaj +1 more source
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification [PDF]
, 2021 Annotated images are required for both supervised model training and evaluation in image classification. Manually annotating images is arduous and expensive, especially for multi-labeled images. A recent trend for conducting such laboursome annotation tasks is through crowdsourcing, where images are annotated by volunteers or paid workers online (e.g.,
arxiv +1 more source
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data [PDF]
Mach. Intell. Res. (2024), 2023 Creating large-scale and well-annotated datasets to train AI algorithms is crucial for automated tumor detection and localization. However, with limited resources, it is challenging to determine the best type of annotations when annotating massive amounts of unlabeled data.
arxiv +1 more source
Baselines for Image Annotation [PDF]
International Journal of Computer Vision, 2010 Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that give reasonable performance on standard datasets.
Ameesh Makadia +2 more
openaire +2 more sources
Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Bechkoum, Kamal +3 more
core +1 more source
Image annotation: the effects of content, lexicon and annotation method [PDF]
International Journal of Multimedia Information Retrieval, 2020 Image annotation is the process of assigning metadata to images, allowing effective retrieval by text-based search techniques. Despite the lots of efforts in automatic multimedia analysis, automatic semantic annotation of multimedia is still inefficient due to the problems in modeling high-level semantic terms.
Zenonas Theodosiou, Nicolas Tsapatsoulis
openaire +4 more sources
Label Correlation Guided Deep Multi-View Image Annotation
IEEE Access, 2019 Automatic image annotation is an important technique which has been widely applied in many fields such as social network image analysis and retrieval, face recognition and so on.
Zhe Xue +4 more
doaj +1 more source