Results 281 to 290 of about 317,725 (334)

A multimodal retinal image dataset for diabetic retinopathy detection using foundation models. [PDF]

Sci Data
Tang Z, Wang L, Guo Z, Liang Q, Xue S, Feng C, Ran L, Chen L, Wang X, Li J.   +9 more
europepmc   +1 more source

High-resolution Annotated Dataset of Girvanella Boundstone Microfacies from the Xiannüdong Formation, China. [PDF]

Sci Data
Choi S, Kim D, Hong J, Lee B, Do J, Kim C, Lee C.   +6 more
europepmc   +1 more source

Skull landmarks - annotated images

, 2015
openaire   +1 more source

Aortic knob (annotated image)

, 2018
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Image annotation

Proceedings of the 6th ACM international conference on Image and video retrieval, 2007
This paper describes an efficient approach to image annotation. It ranked first on the recent scene categorization track of the ImagEVAL1 benchmark. We show how homogeneous global image descriptors combined with a pool of Support Vector Machines achieve very good results.
Nicolas Hervé, Nozha Boujemaa
openaire   +1 more source

Objective-Guided Image Annotation

IEEE Transactions on Image Processing, 2013
Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of the major tools used to enhance the semantic understanding of web images. Many multimedia applications (e.g., tag-based image retrieval) can greatly benefit from image annotation.
Qi, Mao, Ivor Wai-Hung, Tsang, Shenghua, Gao   +2 more
openaire   +2 more sources

Automatic image annotation refinement

2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016
Automatic image annotation methods automatically assign labels to images in order to facilitate tasks such as image retrieval, search, organizing and management. Incorrect labels may negatively influence the search results so image annotation should be as accurate as possible.
Pobar, Miran, Ivašić-Kos, Marina
openaire   +1 more source

Computing human image annotation

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
An image annotation is the explanatory or descriptive information about the pixel data of an image that is generated by a human (or machine) observer. An image markup is the graphical symbols placed over the image to depict an annotation. In the majority of current, clinical and research imaging practice, markup is captured in proprietary formats and ...
David S, Channin, Pattanasak, Mongkolwat, Vladimir, Kleper, Daniel L, Rubin   +3 more
openaire   +2 more sources

Block Annotation: Better Image Annotation With Sub-Image Decomposition

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Image datasets with high-quality pixel-level annotations are valuable for semantic segmentation: labelling every pixel in an image ensures that rare classes and small objects are annotated. However, full-image annotations are expensive, with experts spending up to 90 minutes per image.
Hubert Lin, Paul Upchurch, Kavita Bala
openaire   +1 more source