#ai identification

[crystal-wingeddragon-spikes]

Caught yet another AI Art. I have not gone through everything made by ZZHAOYI on Amazon, yet. But this is very low quality AI with little to no human retouch, so I doubt anything in their store is of good quality.

Be honest with your AI usage.

MATIHAY is also another one selling AI generated Sun catcher, and some of their design is excatly like ZZHAOYI. I have no idea who steal from whom.

This is AI Art not sun catcher from MATIHAY

I apologize for my bad handwriting and grammar, these are just quick notes.

If you use AI to create your product, be honest with it, and be mindful of how it works.

#how to spot ai art #support human artists #be honest with your ai usage #ai identification #ai alert

[hecodesit]

AI Identification- Variables in Physical Concepts

AI Identification- Variables in Physical Concepts

AI identification has reached that point in the world where AI programs can now help identify variables in physical concepts. AI Identification Variables are always necessary to understand any physical phenomena. While most physical connections contain factors that scientists are aware of, a few have remained mysterious. Researchers from Columbia University have now created software that…

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#AI #AI Identification #Artificial Intelligence #Data Science

[ghostlygraphist]

ai generated mushroom guides could get people killed

'i'm not going to link any of them here, for a variety of reasons, but please be aware of what is probably the deadliest AI scam i've ever heard of: plant and fungi foraging guide books. the authors are invented, their credentials are invented, and their species IDs will kill you"

"update: i keep getting annoyed that the QTs are like "if this is true, it's horrifying" ..but you're right, you don't know me from a hole in the ground and you SHOULD worry about the veracity of anything you find online."

thread source

so i went looking

the full description:

How to quickly become a confident mushroom forager without fear of misidentifying poisonous lookalikes!

Have you dreamt about becoming more self-sufficient and sourcing your own fresh, local ingredients?

Do you want to start sustainably foraging so you can become healthier and happier?

Have you thought about harvesting wild mushrooms but afraid you won’t be able to tell the edible and poisonous species apart?

Then this book is for you!

Save money and enjoy the delicacies that nature has to offer. Mushroom hunting is easier than you think, and less dangerous than everyone assumes.

Wild plant foraging is increasing in popularity with celebrity chefs and small cafes jumping on the bandwagon and using locally foraged produce in their food.

There are so many benefits of foraging to your health (physical and mental) and even the environment!

In Fearless Foraging in the Rocky Mountains, you’ll discover:

Over 40 species of mushroom you can harvest all year round

Complimentary access to the mobile-friendly Digital Field Guide that includes high-resolution photos and descriptions of all edible mushrooms and any toxic lookalikes so you don’t have to worry about misidentifying species

How to correctly create (and use) spore prints to help you figure out what’s what

An annual mushroom calendar so you can keep track of the mushrooms by season and make the most of each foraging season

Detailed descriptions of the anatomical properties of fungi - gain the essential knowledge you need to correctly identify species

Tips on sustainable foraging - and ways to increase the natural mushroom count for next time you visit!

And much more!

Foraging is a tradition upheld for centuries by indigenous people who used ancient, respectful principles to live off the land. Connect with that history by embracing the artful skills and knowledge to confidently collect food for your meals.

Even if you're still worried about toxic mushrooms, let this guide reassure you. Included are incredibly high-level descriptions and details to use so you don’t get it wrong. NOTE: To keep it economically prices, our paperback version is printed in black and white. Premium color is available in our hardcover version. Both will provide the quality necessary to identify wild mushrooms and plants and both come with access to the full color, high-resolution Digital Field Guide.

If you want to learn the skillful art of foraging mushrooms and enjoy nature's nutritious bounties then scroll up and click the “Add to Cart” button now.

end description

wild harvest publications... no named author? i n t e r e s t i n g

"To keep it economically prices" hmm *the design is very human meme*

this book that promises highly detailed descriptions doesn't even have color images unless you pay a premium

"Mushroom hunting is easier than you think, and less dangerous than everyone assumes." hmm. hmmmmm. yeah the government definitely put out those 'if you don't know what it is don't put it in your mouth' PSAs for no reason

tldr don't buy foraging guides off amazon if you can't locate a human author and verify their credentials yourself

#mushrooms #fungi #fungus #ai #amazon #foraging #we live in the worst timeline #incorrect foraging guides is like something a hostile government would distribute to kill dissidents about to go into hiding in the woods #but no its idiots who want to make money #mushroom identification #mushrooming

[firedragon1321]

How to Spot an AI-Generated Tai in the Wild!

Because I am insanely obsessed with the blorbo and AI art is a hot-button topic right now, here's a silly thing. I'm sure most artists can tell the difference between real and AI art. But my autistic brain wants to pick apart Tai's character design a bit so here you go. This applies to all seasons, touching on basic traits Tai has between them. So I won't go too much into clothing here (people like to dress him up in different cool outfits anyway- keep doing that).

Note that this isn't true to all models, but works 90% of the time. AI art is advancing so quickly that this may be obsolete by tomorrow. Also, real art might "fail" these little tests simply due to lack of experience drawing the character. If you suspect someone is posting AI art, just block and move on. Report if you want, but you know how Tumblr feels about AI. Most importantly? Don't use this post to be a dick.

WARNING: This post uses AI-generative images found from around the Internet for demonstrative purposes. No credit is given because if the "creators" wanted credit, they should've learned how to actually draw. :)

SKIN TONE

Tai has this nice, tanned skin tone that the rest of the Adventure DigiDestined do not have. While he keeps it in 02 and tri, he loses his color in Kizuna. A real fanart piece is most likely to reflect this, or even add color to his paler designs.

Most AI models have a generic pasty white skin tone for anime characters. This applies to any anime character, not just Tai. I believe this model might have gobbled up his Kizuna skin tone. But I've seen fake Tais even paler than this.

There are some AI models that combat this. But the standard AI identification tricks apply. Here, the tongue is mushy, and the highlights on his goggles make no sense.

HAIR OF FLOOF FLOOF

Ah yes- my point of expertise. Tai's hair is a difficult thing to draw. I don't blame anyone for dropping the ball here. But AI does have some notable, repetitive failings.

A "legit" Tai tends to have fluff, rather than spikes. The bangs consist of one stripe over the forehead. The few spikes present designate messiness, but the general shape is actually curvy (look at the top right side of the head for the most wavy lines). The size of the floof ranges between adaptions and even storyboard artists.

AI-generators are convinced that all "anime hair" is spiky. Notice this AI Tai has more spikes and less curved lines.

Then, there's this one, which drops the ball on Tai and Matt so bad that both characters resemble Bakugou from My Hero Academia.

WHO'S THAT DIGIDESTINED?

Eye shape and color has some leeway depending on the artist's style. Adventure/02, tri., and Kizuna supply three different eye styles. However, there are still some dead giveaways.

Revisiting this AI-generated image, the eyes look...familiar. No?

How about now? The modern Pokemon anime style has been completely absorbed by AI models. Sometimes, Digimon and Pokemon will be confused for each other, resulting in similar eye shapes and other traits (look at the noses, too).

HUMAN TOUCH

There's some times you can look at an art and know with confidence it was human-made, such as-

MS Paint blobs/sketches on lined paper/anything showing layers/etc. They're too unrefined for an AI image creator to want to profit off of, so why would they make them?

Some fetish art. A lot of kinksters are using AI, which is why deviantArt made good ammunition for this post. But many have distinct art styles that AI has not copied yet.

Western-cartoony art with hard or thick lines. AI is allergic to these traits atm. Notice the softer, thinner outlines on all three fakes.

Clearly attempting to master Tai's unique traits, even if they don't translate well (e.g.- a dome vaguely shaped like his hair is more credible than a "perfect" hairdo with too many spikes).

FINAL NOTES

All of this could change tomorrow, at the rate at which AI advances. I'm fairly good at deducing AI art from human-made art. But a recent piece almost tricked me (interestingly, it was Davis- not Tai- who looked off). These things are constantly evolving. But in addition to the usual tricks, knowing your blorbos can help identify AI images so you can freely block (or, when applicable, report) the idiots who made them.

#tai kamiya #digimon #taichi yagami #taiposting #fuck ai art #all of this will change in three days #character design #ai art #ai art identification #might go into tai's hair more one day there's a lot i want to say about drawing it

[crosstheveil]

Temperaments: Physical Appearance (AI-Generated)

Choleric (Fire)

Thin and angular body

Reddish or yellowish complexion

Piercing, intense eyes

Thin and dry lips

Pointed, angular features

Thin, wiry hair

Tendency to sweat profusely

Sanguine (Air)

Robust and muscular body

Ruddy complexion

Large, expressive eyes

Red and full lips

Rounded, fleshy face

Thick, curly hair

Tendency to perspire easily

Phlegmatic (Water)

Plump and round body

Pale, moist complexion

Large, soft eyes

Thick and flabby lips

Rounded features

Thick, wavy hair

Tendency towards oily skin and hair

Melancholic (Earth)

Thin and bony body

Pale complexion

Deep-set, serious eyes

Thin and compressed lips

High forehead

Thin, straight hair

Tendency towards dry skin and hair

#hippocrates #four temperaments #ai #physical appearance #visual identification #personality #psychology #choleric #sanguine #phlegmatic #melancholic

[forensicfield]

Forensic Science E-Magazine (Feb-March 2024)

We proudly present the January issue (Vol 20) of your favourite magazine, Forensic Science E-Magazine. As usual, the current issue has helpful content related to forensic science. #forensicscienceemagazine #forensicscience #forensicfield #crimescene

Continue reading Forensic Science E-Magazine (Feb-March 2024)

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#Artificial Intelligence Technology and Forensic Science #blood identification tests and examination #document examination instrument #fingerprint detection tests and examination #forensic science and ai #forensic science e magazine #Forensic science Magazine 2024 jan #LIMS #mcq on questioned document #tridimensional facial reconstruction #vital role and diverse application of forensic imaging in forensic field

[snowgall]

posted by heyMAKWA on twitter, Aug 17, 2023:

i'm not going to link any of them here, for a variety of reasons, but please be aware of what is probably the deadliest AI scam i've ever heard of:

plant and fungi foraging guide books. the authors are invented, their credentials are invented, and their species IDs will kill you

#ai scams #deadly mushrooms #mushroom identification #fungi #edible vs nonedible #they can look identical #sounds like potential criminally negligent homicide to me #but I am not a lawyer #twitter #heymakwa #image description #my post

[etakeh]

so that's super cool.

This adds another level to our need to vet sources - make sure they're actually PEOPLE who know what they're doing.

#ai #danger #psa #foraging #identification #doom 2023 #plants #fungi #mushroom #books #print on demand

[mushroomidentifierbot]

Just so everyone is aware:

An international group of qualified mushroom identifiers who do worldwide identification in emergency cases have identified the Shroomers App as a potentially very dangerous system that could kill you if you try to use it to identify edible mushrooms. They use AI to generate almost all of their content, including their identification profiles on their app as well as their books and other materials. Not only is this unethical from a content creation standpoint, it is also extremely dangerous.

DO NOT USE APPS FOR IDENTIFICATION PURPOSES BEYOND SIMPLE CURIOSITY. A MISTAKE WHEN IDENTIFYING AN EDIBLE COULD COST YOU YOUR LIFE. DO NOT EAT ANY FORAGED MUSHROOM YOU CANNOT IDENTIFY YOURSELF BY SIGHT OR HAS BEEN IDENTIFIED IN PERSON BY SOMEONE WHO CAN.

ONLY BUY BOOKS FROM REPUTABLE SOURCES AND AT THIS POINT THAT MEANS ASKING EXPERIENCED PEOPLE WHAT BOOKS THEY USE.

Mushrooms are fun, amazing organisms. Enjoy safely.

#mushroom #mushroom identification #mushrooms #fungus #fungi #macrofungi #shrooms #mycology #shroomersapp #shroomers app #shroomers #mycophobia

[airwavesdotblog]

O.J. Simpson’s Twists of Fate: From Cancer Battles to Infamous Trials

In May 2023, O.J. Simpson shared a video on X (formerly known as Twitter), revealing that he had recently “caught cancer” and undergone chemotherapy. Although he didn’t specify the type of cancer, he expressed optimism about beating it. Fast forward to February 2024, when a Las Vegas television station reported that Simpson was once again receiving treatment for an unspecified cancer. In a…

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#AI News #biometric identification #case prediction #crime prevention #document analysis #ethical AI #facial recognition #forensic analysis #kaelin #kato #legal research #machine learning #News #nicole simpson #O.J. Simpson #predictive policing #ron goldman #sentiment analysis

[kanika456]

Artificial Intelligence-Based Face Recognition

Current technology astounds people with incredible innovations that not only make life easier but also more pleasant. Face recognition has consistently shown to be the least intrusive and fastest form of biometric verification. To validate one's identification, the software compares a live image to a previously stored facial print using deep learning techniques. This technology's foundation is built around image processing and machine learning. Face recognition has gained significant interest from researchers as a result of human activity in many security applications such as airports, criminal detection, face tracking, forensics, and so on. Face biometrics, unlike palm prints, iris scans, fingerprints, and so on, can be non-intrusive.

They can be captured without the user's knowledge and then used for security-related applications such as criminal detection, face tracking, airport security, and forensic surveillance systems. Face recognition is extracting facial images from a video or surveillance camera. They are compared to the stored database. Face recognition entails training known photos, categorizing them with known classes, and then storing them in a database. When a test image is sent to the system, it is classed and compared to the stored database.

Face recognition

Face recognition with Artificial Intelligence (AI) is a computer vision technique that identifies a person or object in an image or video. It employs a combination of deep learning, computer vision algorithms, and image processing. These technologies allow a system to detect, recognize, and validate faces in digital photos or videos. The technology has grown in popularity across a wide range of applications, including smartphone unlocking, door unlocking, passport verification, security systems, medical applications, and so on. Some models can recognize emotions through facial expressions.

Difference between Face recognition & Face detection 

Face recognition is the act of identifying a person from an image or video stream, whereas face detection is the process of finding a face within an image or video feed. Face recognition is the process of recognizing and distinguishing people based on their facial characteristics. It uses more advanced processing techniques to determine a person's identity using feature point extraction and comparison algorithms. and can be employed in applications such as automatic attendance systems or security screenings. While face detection is a considerably easier procedure, it can be utilized for applications such as image labeling or changing the angle of a shot based on the recognized face. It is the first phase in the face recognition process and is a simpler method for identifying a face in an image or video feed.

Image Processing and Machine learning

Computer Vision is the process of processing images using computers. It focuses on a high-level understanding of digital images or movies. The requirement is to automate operations that human visual systems can complete. so, a computer should be able to distinguish items like a human face, a lamppost, or even a statue.

OpenCV is a Python package created to handle computer vision problems. OpenCV was developed by Intel in 1999 and later sponsored by Willow Garage.

Machine learning

Every Machine Learning algorithm accepts a dataset as input and learns from it, which essentially implies that the algorithm is learned from the input and output data. It recognizes patterns in the input and generates the desired algorithm. For example, to determine whose face is present in a given photograph, various factors might be considered as a pattern: The facial height and width. Height and width measurements may be unreliable since the image could be rescaled to a smaller face or grid. However, even after rescaling, the ratios stay unchanged: the ratio of the face's height to its width will not alter. Color of the face. Width of other elements of the face, such as the nose, etc

There is a pattern: different faces, such as those seen above, have varied dimensions. comparable faces share comparable dimensions. Machine Learning algorithms can only grasp numbers, making the task difficult. This numerical representation of a "face" (or an element from the training set) is known as a feature vector. A feature vector is made up of various numbers arranged in a specified order. As a simple example, we can map a "face" into a feature vector that can contain multiple features such as: Height of the face (in cm) Width of the face in centimeters Average hue of the face (R, G, B). Lip width (centimeters) Height of the nose (cm)

Essentially, given a picture, we may turn it into a feature vector as follows: Height of the face (in cm) Width of the face in centimeters Average hue of the face (RGB). Lip width (centimeters) Height of the nose (cm)

There could be numerous other features obtained from the photograph, such as hair color, facial hair, spectacles, and so on. 1. Face recognition technology relies on machine learning for two primary functions. These are listed below. Deriving the feature vector: It is impossible to manually enumerate all of the features because there are so many. Many of these features can be intelligently labeled by a machine learning system. For example, a complicated feature could be the ratio of nose height to forehead width. 2. Matching algorithms: Once the feature vectors have been produced, a Machine Learning algorithm must match a new image to the collection of feature vectors included in the corpus.

3. Face Recognition Operations

Face Recognition Operations

Facial recognition technology may differ depending on the system. Different software uses various ways and means to achieve face recognition. The stepwise procedure is as follows: Face Detection: To begin, the camera will detect and identify a face. The face is best recognized when the subject looks squarely at the camera, as this allows for easy facial identification. With technological improvements, this has advanced to the point that the face may be identified with a minor difference in posture when facing the camera.

Face Analysis: A snapshot of the face is taken and evaluated. Most facial recognition uses 2D photos rather than 3D since they are easier to compare to a database. Facial recognition software measures the distance between your eyes and the curve of your cheekbones. Image to Data Conversion: The face traits are now transformed to a mathematical formula and represented as integers. This numerical code is referred to as a face print. Every person has a unique fingerprint, just as they all have a distinct face print.

Match Finding: Next, the code is compared to a database of other face prints. This database contains photographs with identification that may be compared. The system then finds a match for your specific features in the database. It returns a match with connected information such as a name and address, or it depends on the information kept in an individual's database.

Conclusion In conclusion, the evolution of facial recognition technology powered by artificial intelligence has paved the way for ground breaking innovations in various industries. From enhancing security measures to enabling seamless user experiences, AI-based face recognition has proven to be a versatile and invaluable tool.

#ai face identification #ai face match #ai face recognition #ai face recognition online #ai and facial recognition

[azuremist]

Google is going to start scraping all of their platforms to use for AI training. So, here are some alternatives for common Google tools!

Google Chrome -> Firefox

If you’re on tumblr, you’ve probably already been told this a thousand times. But FireFox is an open-source browser which is safe, fast and secure. Basically all other browsers are Chrome reskins. Try Firefox Profilemaker, Arkenfox and Librewolf! Alternatively, vanilla Firefox is alright, but get Ublock Origin, turn off pocket, and get Tabliss.

Google Search -> DuckDuckGo

DuckDuckGo very rarely tracks or stores your browsing data (though they have only been known to sell this info to Microsoft). Don’t use their browser; only their search engine. Domain visits in their browser get shared. Alternatively, you can also use Ecosia, which is a safe search engine that uses its income to plant trees! 🌲

Google Reverse Image Search -> Tineye

Tineye uses image identification tech rather than keywords, metadata or watermarks to find you the source of your image!

Gmail -> ProtonMail

All data stored on ProtonMail is encrypted, and it boasts self-destructing emails, text search, and a commitment to user privacy. Tutanota is also a good alternative!

Google Docs -> LibreOffice

LibreOffice is free and open-source software, which includes functions like writing, spreadsheets, presentations, graphics, formula editing and more.

Google Translate -> DeepL

DeepL is notable for its accuracy of translation, and is much better that Google Translate in this regard. It does cost money for unlimited usage, but it will let you translate 500,000 characters per month for free. If this is a dealbreaker, consider checking out the iTranslate app.

Google Forms -> ClickUp

ClickUp comes with a built-in form view, and also has a documents feature, which could make it a good option to take out two birds with one stone.

Google Drive -> Mega

Mega offers a better encryption method than Google Drive, which means it’s more secure.

YouTube -> PeerTube

YouTube is the most difficult to account for, because it has a functional monopoly on long-form video-sharing. That being said, PeerTube is open-source and decentralized. The Internet Archive also has a video section!

However, if you still want access to YouTube’s library, check out NewPipe and LibreTube! NewPipe scrapes YouTube’s API so you can watch YouTube videos without Google collecting your info. LibreTube does the same thing, but instead of using YouTube servers, it uses piped servers, so Google doesn’t even get your IP address. Both of these are free, don’t require sign-ins, and are open source!

Please feel free to drop your favorite alternatives to Google-owned products, too! And, if this topic interests you, consider checking out Glaze as well! It alters your artwork and photos so that it’s more difficult to use to train AI with! ⭐️

#anti ai #anti ai art #anti ai music #anti ai writing #anti google #google #political #current events #azure does a thing

[troythecatfish]

Here’s my personal recommendation of a article to check out:

#mushrooms #mushroom hunting #mushroom #tumblr recommendations #recommend #recommendation #article #article link #article recommendation #mycology #mushroom core #mushroom picking #mushroom poisoning #mushroom identification #foodblr #food and drink #food #foraging #ai issues #fungi #wild fungi #fungilove #fantastic fungi #spreading awareness #urgent #food post #wild food #wild foraging #relatablepost #ai

[scichores]

Fascinating Role of Genomics in Drug Discovery and Development

This article dives deep into the significance of genomics in drug discovery and development, highlighting well-known genomic-based drug development services that are driving the future of pharmaceutical therapies. #genomics #drugdiscovery

A scientist using a whole genome DNA sequencer, in order to determine the “DNA fingerprint” of a specific bacterium. Original image sourced from US Government department: Public Health Image Library, Centers for Disease Control and Prevention. Under US law this image is copyright free, please credit the government department whenever you can”. by Centers for Disease Control and Prevention is…

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#AI Tools for Predicting Risk of Genetic Diseases #Artificial Intelligence and Genomics #Role of Genomics and Companion Diagnostics #Role of Genomics in Biomarker Discovery #Role of Genomics in Drug Discovery and Development #Role of Genomics in Drug Repurposing #Role of Genomics in Personalized Medicine #Role of Genomics in Target Identification and Validation #Role of High-Throughput Sequencing

[viheaga]

Pill Identification

💡 Have you ever wondered how modern technology can revolutionize the way we identify pills? 💊✨ Let us take you on a fascinating journey through the world of AI and Machine Learning, as we delve into the groundbreaking field of Pill Identification. 🌐🤖

🔍 Gone are the days of uncertainty when faced with an unfamiliar pill. With AI and Machine Learning algorithms at our fingertips, identifying medications has never been easier or more accurate. 📱💡

🤖💊 AI algorithms are trained on vast databases of pill images, enabling them to recognize intricate details and distinguishing features. Through complex pattern recognition and data analysis, these intelligent systems can swiftly identify a pill's shape, color, markings, and even imprint codes. 🌈🔬

⚙️⚡️ Machine Learning algorithms continuously learn and adapt, becoming increasingly proficient in identifying an extensive range of medications. The more data they process, the smarter they become, empowering us with rapid and precise pill identification capabilities. 🧠💪

🔐 Privacy and safety are of utmost importance. Rest assured, the Pill Identification AI strictly adheres to ethical guidelines, ensuring the confidentiality of personal information and preserving anonymity. 🚫🔒

🌍💻 Beyond individual use, this advanced technology has immense potential in healthcare, pharmacy, and forensic science. Imagine the possibilities of automated pill recognition in hospitals, preventing medication errors and improving patient care. 🏥🌱

📲💊 Stay tuned as we explore the future of pill identification through AI and Machine Learning. Together, we can unlock the power of technology to enhance our understanding and ensure the safety of medication usage worldwide. 🌟✨

🔬💊 Join the conversation and share your thoughts on the incredible advancements in pill identification made possible by AI and Machine Learning. Let's embrace the future of healthcare and explore the limitless possibilities! 💭💡

#health #ai #healthtech #awereness #machine learning #AI #futuristictechnology #pills #Pill Identification #pharma manufacturing #pharma #artificial intelligence

[rurumonta-127]

#AI #Target Market #Market Analysis #Artificial Intelligence #Market Research #Customer Segmentation #Business Strategy #Market Identification #Market Segmentation #Competitive Analysis