#ImageAnalysis

[dpathucgconforences]

[joshtechadvisory]

Step into the captivating world of computer vision as we embark on a transformative journey to explore the cutting-edge realm of intelligent systems. Join us for an immersive talk that delves deep into the art and science of building advanced technologies through computer vision.

[mesiiizeapk]

From Image to Information: Apps that Tell You What You’re Looking At

Have you ever wondered if there's an app that can identify objects just by taking a picture? Well, you're in luck! With the power of image recognition technology, there are several apps available that can do just that. Simply snap a photo, and these apps will provide you with information about the object in question. Let's explore some of these apps and how they work.

How does image recognition technology work? Image recognition technology works by using algorithms and machine learning to analyze the visual features of an image and match them to a database of known objects. When you take a picture with an image recognition app, the app sends the image to a server where it is processed and compared to a vast collection of images. The app then uses pattern recognition and other techniques to identify the object in the image and provide relevant information about it. This technology has advanced significantly in recent years and is now capable of recognizing a wide range of objects, including animals, plants, landmarks, and even specific products.

Top apps for image recognition and information retrieval. If you're curious about the world around you and want to learn more about the objects you encounter, these apps are perfect for you. With the power of image recognition technology, these apps can identify objects in your photos and provide you with detailed information about them. Whether you're interested in learning about different species of plants and animals, famous landmarks, or even the products you come across while shopping, these apps have got you covered. Say goodbye to wondering what something is and start using these apps to satisfy your curiosity.

Benefits of using image recognition apps. There are several benefits to using image recognition apps. Firstly, they provide instant information about the objects you encounter. Instead of having to search for information manually, these apps can quickly identify and provide details about the object in question. This can be particularly useful when traveling or exploring new places, as you can easily learn about landmarks, plants, and animals without having to rely on guidebooks or internet searches. Additionally, these apps can enhance your learning experience by providing educational information about various subjects. Whether you're a student, a nature enthusiast, or simply curious about the world, these apps can help expand your knowledge and understanding. Lastly, image recognition apps can save you time and effort by eliminating the need for manual research. With just a few taps, you can access relevant information about the objects you photograph, making your life easier and more convenient.

How image recognition is revolutionizing various industries. Image recognition technology is revolutionizing various industries by providing new and innovative solutions. In the retail industry, for example, image recognition apps can be used to enhance the shopping experience. Customers can simply take a picture of an item they like and the app will provide information about where to buy it, similar products, and even reviews. This not only saves time for the customer but also helps retailers increase sales and improve customer satisfaction. In the healthcare industry, image recognition apps can assist doctors in diagnosing diseases and identifying abnormalities in medical images. This can lead to faster and more accurate diagnoses, ultimately improving patient outcomes. In the automotive industry, image recognition technology is being used to develop self-driving cars. These cars use cameras and sensors to identify and interpret objects on the road, allowing them to navigate safely and efficiently. Overall, image recognition is transforming various industries by providing new opportunities for efficiency, convenience, and innovation.

Tips for maximizing the use of image recognition apps. To make the most out of image recognition apps, here are some tips to consider. Firstly, ensure that the object you are trying to identify is well-lit and clearly visible in the photo. This will increase the accuracy of the app's recognition capabilities. Secondly, make sure to use high-quality images with good resolution. Blurry or low-resolution images may not provide accurate results. Additionally, try to capture the object from different angles to provide the app with more information for identification. Lastly, keep the app updated to benefit from any improvements or new features that may enhance its performance. By following these tips, you can maximize the use of image recognition apps and unlock their full potential.

[uzzalmazumder]

Looking for a professional photo editor?

[jobrxiv]

Director of Image Analysis Einstein College of Medicine Come use your machine learning and image analysis skills to help cancer patients by developing diagnostics and therapeutics with physician scientists. See the full job description on jobRxiv: https://jobrxiv.org/job/einstein-college-of-medicine-27778-director-of-image-analysis/?feed_id=44336 #ScienceJobs #hiring #research #imaging, #imageanalysis, #cancerresearch, #machinelearning, #biomarkers Bronx, New York #UnitedStatesUS #Director

[pathologyucgconference]

Hello Everyone! With Immense pleasure, I would like to announce that abstract submission for the 10th World Digital Pathology & AI UCGCongress is open! It is scheduled on April 04-06, 2023 in Berlin, Germany. Submit your abstract/paper/workshop here: https://digitalpathology.ucgconferences.com/submit-abstract/ #Pathology #Pathologists #digitalpathology #digitalpathologyscanner #Surgicalpathology #Pathologyresident #covid19 #scanner #digitalimagescanning #imageanalysis #clinicaltrials #microscope #AI #Surgery #ClinicalPathology #Pathologie #DigitalPathologist #Pathologist #LaboratoryMedicine #Berlinevent #Gemanyevent

[surveycircle]

Tweeted

Participants needed for online survey! Topic: "X-Ray Analysis in Dyadic Teams" https://t.co/icQNPQLQNy via @SurveyCircle #xray #HealthCare #decision #ImageAnalysis #evaluation #dyad #diagnostics #survey #surveycircle https://t.co/5wPM6n9l1E

— Daily Research @SurveyCircle (@daily_research) Jun 28, 2022

[studiocryo]

Poster and exibition design — Vyras su tamsiais plaukais ir saulėlydžio fone / A man with dark hair and a sunset in the background — Project by Paul Paper — Event curated Lokomotif — 2019 — MORE INFO

[alphatree]

synthetic frequency bands for remote-sensing applications

SFBs highlight hidden radiometric signatures in multispectral imagery through sophisticated transforms that make targeted objects clearly distinguishable with respect to their surroundings. SFBs are computed using a near-linear-complexity algorithm with minimal hardware requirements. The demo shows a pansharp RGB image of a residential neighborhood in Ankara, Turkey (first), the SFB targeting buildings with red roofs (second), and the CSL semantic triplet developed at the European Commission's Joint Research Centre (jrc) for the detection & segmentation of building footprints (third). For more contact the author.

[dpathucgconforences]

New Speaker Announcement!! We are happy to introduce our speaker, Dr. Qun Dang at the CME/CPD accredited 12th World Digital Pathology & AI UCGCongress from December 17-19, 2024, in Dubai, UAE & Virtual. Participate and broaden your understanding of Digital pathology and AI.

WhatsApp us: https://wa.me/442033222718?text= Register here: https://digitalpathology.ucgconferences.com/registration/ AutomatedPathology #PathologyTech #DiagnosticImaging #PathologyLab #VirtualMicroscopy #SlideDigitization #PathologyAutomation #DigitalHistology #PathologyWorkflow #ImageAnalysis

[morganmccaskiecogc]

Reading Photographs - Image Analysis

Morgan McCaskie - Making Not Taking - August 20

VISUAL

The rocks appear 3D because of the angle the photograph was taken from. We are not looking at the waterfall straight ahead, instead we are viewing it from an angle. From this angle we see the rocks stick out in various places and this gives the photograph depth. There are a range of dark and light tones captured that create contrast. The darker mud and foliage in the foreground and the background help to create contrast with the bright white of the water that is in the centre of the image. The way the image is composed shows the waterfall is more to the right - this can be identified using the rule of thirds. 

CONTEXTUAL

When looking at this image from a psychological aspect, the types of feelings conveyed are mainly calming. This photograph has captured a tranquil scene with very little going on and this makes it easy for the eyes to follow and take in. There aren’t many points in the image where we look back and forth, so our eyes are easily drawn to the brightness of the water compared to the darker woods surrounding it. The colour green is associated with feelings of calmness, growth and freshness. The green and brown tones frame the waterfall and evoke a feeling of comfort and safety.  

TECHNICAL

The light source for this image was only the available daylight as it was taken out in the open with no additional lights/flash. A longer shutter speed of 5 seconds was used and the camera was positioned to the right of the waterfall on a tripod. By using a longer shutter speed, movement was created and the image was brought to life with flowing water.

[forensicfield]

Sunday's Topic for group discussion in "Group of Forensic Experts" was- Question 👉 What is importance of Video image analysis in forensic science? Answer👉 Importance of Video Image Analysis in forensics- It is considered that the most prolific source of evidence for police investigations are from video recordings. Video Forensics tells us that all video recordings are not an accurate medium because digital compression removes information and adds information that wasn’t originally included. It is because of these reasons that a Video Forensic Expert MUST be able to interpret the images and video recording in order to present the events as they occurred and compare these and analyze the results.. For more details about Video Image Analysis watch it- https://youtu.be/Mdm4hwIGgaM Or Read About it : https://forensicfield.blog/2019/08/26/video-image-analysis/ -------------------------- #forensicfield #forensic #forensics #forensicscientist #forensicscience #forensicquestionandanswer #forensicintro #videoimageanalysis #digitalforensics #cyberforensic #imageanalysis #knoweledge #fact #importanceofforensic #cyberevidence #digitalevidence #digital #evidence #physicalevidence #legal #crime #criminology #crime #crimescene #criminalistic https://www.instagram.com/p/B1nZ6_8B3gz/?igshid=1esu1vlj3mc2z

[optralab]

OptraSCAN’s Cytoplasm Algorithm helps distinguish between the staining of two or more sub cellular compartments. Features of Cytoplasm Biomarker: > Algorithm evaluates the respective nuclear cytoplasmic localization in order to gain further cellular insights > Provides accurate and detailed score generation in the form of 3+,2+,1+ and negative cell counts Email us at info@optrascan.com to schedule a demo.

[jobrxiv]

Director of Image Analysis Einstein College of Medicine Come use your machine learning and image analysis skills to help cancer patients by developing diagnostics and therapeutics with physician scientists. See the full job description on jobRxiv: https://jobrxiv.org/job/einstein-college-of-medicine-27778-director-of-image-analysis/?feed_id=42734 #ScienceJobs #hiring #research #imaging, #imageanalysis, #cancerresearch, #machinelearning, #biomarkers Bronx, New York #UnitedStatesUS #Director

[ksuderekc]

My Report-Out on our Deep Learning Project for @black_veatch by @kansasstateuniversity Dept of @kstate_cs 's Laboratory for Knowledge Discovery in Databases (#kdd) with @kstatepolytech http://bit.ly/ksuderekc_DL_ImageAnl "Team used #objectdetection Deep Learning #imageanalysis to manually annotate a training set of images & trained a Convolutional #neuralnetwork to tag insulators using inference & classify them as damaged or not. Used two #DeepLearning platforms: Py-Faster-RCNN & #pytorch . https://lnkd.in/gMM8_C4 Thank you to: Black & Veatch, K-State Polytechnic, & Dr. William Hsu KDD Lab Team of https://lnkd.in/gDjNRK9" https://www.linkedin.com/feed/update/urn:li:activity:6512084215042052098 https://twitter.com/ksuderekc/status/1106318588489531392 @kstateengg, @kstateourci, @kstate_acmsigai (at Kansas State University College of Engineering) https://www.instagram.com/p/BvFOcDWlq9U/?utm_source=ig_tumblr_share&igshid=1n34kudzid937