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General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).
An easy way to find such images is to search with the restriction to site:.gov OR site:.mil. Again, be creative and vary your search terms. Not all images on the .gov or .mil sites are public domain, however: works by local state governments are not necessarily in the public domain. In case of doubt, ask.
It can read many image file formats, including TIFF, PNG, GIF, JPEG, BMP, DICOM, and FITS, as well as raw formats. ImageJ supports image stacks, a series of images that share a single window, and it is multithreaded, so time-consuming operations can be performed in parallel on multi-CPU hardware. ImageJ can calculate area and pixel value ...
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1] [2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [3]
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Berkeley Protocol on Digital Open Source Investigations A Practical Guide on the Effective Use of Digital Open Source Information in Investigating Violations of International Criminal, Human Rights and Humanitarian Law (PDF). New York, Geneva: UN Office of the High Commissioner for Human Rights; Human Rights Center, UC Berkeley School of Law.
Sungai Siring Airport was designed as a replacement for the former Samarinda Airport (commonly known as Temindung Airport) originally built in 1973. Located in the densely built-up Sungai Pinang District with a single runway extending into settlements, Temindung had only limited room for expansion to cope with steadily increasing air traffic.
Many of the techniques of digital image processing, or digital picture processing as it often was called, were developed in the 1960s, at Bell Laboratories, the Jet Propulsion Laboratory, Massachusetts Institute of Technology, University of Maryland, and a few other research facilities, with application to satellite imagery, wire-photo standards conversion, medical imaging, videophone ...