Results 1 to 10 of about 11,867,254 (282)

IRD-dataset: a multi-source Iraqi road defect dataset for detection, segmentation, and GPS-based mapping. [PDF]

Data Brief
Ahmed ZJ, Khafaji HK.
europepmc   +1 more source

SAM-CLIP-Thermal: Leveraging large multimodal models for reliable and scalable annotation in thermal image segmentation for field plant phenotyping. [PDF]

Plant Phenomics
Lin Y, Tan C, Li C, Jiang Y.
europepmc   +1 more source

SmartHisto: Bayesian active learning for histology images. [PDF]

PLoS Comput Biol
Vijendran S, Arruda B, Anderson TK, Eulenstein O.   +3 more
europepmc   +1 more source

Sparse Image Registration-Based Marker-Free Hand Acupoint Localization Using TCM Template Queries. [PDF]

Sensors (Basel)
Zhang S, Zhang S, Zhang C, Peng J.
europepmc   +1 more source

Deep Learning-Assisted Classification of Urinary Red Blood Cell Morphology for Glomerular Hematuria Screening: A Pilot Study. [PDF]

J Clin Lab Anal
Lin YL, Chen JS, Chuang YF, Huang SR, Liao CS.   +4 more
europepmc   +1 more source

Workflow evaluation of a commercial deep learning-based image analysis tool for the quantification of angiogenesis in vivo. [PDF]

Sci Rep
Buhr CR, Maas AP, Wiesmann-Imilowski N, Brieger J, Matthias C, Ernst BP, Kloss-Brandstaetter A, Herrmann P, Eckrich J.   +8 more
europepmc   +1 more source

Image annotation: Then and now

Image and Vision Computing, 2018
Abstract Automatic image annotation (AIA) plays a vital role in dealing with the exponentially growing digital images. Image annotation helps in effective retrieval, organization, classification, auto-illustration, etc. of the image. It started in early 1990.
Prakash Choudhary
exaly   +2 more sources

A survey of methods for image annotation

Journal of Visual Languages and Computing, 2008
In order to evaluate automated image annotation and object recognition algorithms, ground truth in the form of a set of images correctly annotated with text describing each image is required. In this paper, three image annotation approaches are reviewed: free text annotation, keyword annotation and annotation based on ontologies.
Allan Hanbury
exaly   +2 more sources

Annotating gigapixel images

Proceedings of the 21st annual ACM symposium on User interface software and technology, 2008
Panning and zooming interfaces for exploring very large images containing billions of pixels (gigapixel images) have recently appeared on the internet. This paper addresses issues that arise when creating and rendering auditory and textual annotations for such images.
Qing Luan, Steven Mark Drucker, Johannes Kopf 0001, Ying-Qing Xu, Michael F. Cohen   +4 more
openaire   +2 more sources

How to annotate an image?

Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries, 2004
The performance of retrieving an image in terms of text--type of queries depends heavily on the quality of the annotated descriptive metadata that describes the content of the images. However, effective annotation of an image can often be a laborious task that requires consistent domain knowledge.
Chen-Yu Lee, Von-Wun Soo, Yi-Ting Fu
openaire   +1 more source