what enables image processing, speech recognition in artificial intelligence

Speech recognition enables computers to understand human speech and . Natural Language Processing (NLP), on the other hand, is a branch of artificial intelligence that investigates the use of computers to process or to understand human languages for the purpose of performing useful tasks. Its a fascinating and rapidly developing area of tech thats transforming how we communicate with machines. Onboard software then matches what you said against stored words and phrases to determine if they correspond with anything thats been programmed into its memory banksor at least something close enough to trigger what comes next. Image and speech recognition is one of the main benefits of speech recognition and language! How Tech Has Revolutionized Warehouse Operations, Gaming Tech: How Red Dead Redemption Created their Physics. If your dataset has few images, a neural network might be the best option for you. In classification tasks, we call each category $\rm{cls}$. If you only have a handful of training examples, then using an unsupervised learning method such as clustering could work very well since these methods dont require any labelled training datathey simply learn from whatever information was provided without being told what belongs where during each step along the way (unsupervised learning). Image processing techniques include feature extraction, edge detection, blob analysis and segmentation (or clustering). Artificial intelligence (AI) is a computer science subject that studies and develops computer systems that can accomplish tasks that need human intellect. Machine Vision. It can help identify the meaning of words from their context, and it enables chatbots and voice assistants like Siri and Cortana to carry on conversations with users. What is artificial intelligence technology? Hard copies, such as prints and pictures, may benefit from analog image processing. Image recognition software can be used to detect faces in photos or videos so that you could know whos in them before sharing them on social media. Image recognition has become one of the most popular applications of AI in recent years. Using Facial Recognition software, an individuals facial features are mapped and stored as a face print. Many signal processing methods, such as the Fourier transform, the wavelet transform, and filtering, may be applied to pictures directly. Localization identifies where objects are located within an image. Artificial intelligence (AI) is a field of computer science that uses various techniques to perform tasks that normally require human intelligence. Today, image processing is widely used in medical visualization, biometrics, self-driving vehicles, gaming, surveillance, law enforcement, and other spheres. What kind of signal is used in speech recognition? What enables image processing speech recognition and complex gameplay in artificial intelligence AI? Image classification: Image classification is the process of automatically categorizing images into different categories. Can you still become a What enables image processing speech recognition in artificial intelligence? When you speak into your phone or computer, the microphone picks up your voice and converts it into data that can be processed by the devices processor. Why is image recognition a key function of AI? Its a fascinating and rapidly developing area of tech thats transforming how we communicate with machines. Without it, most of todays computing devices would be useless; imagine having to type out a message when you could simply speak and have it understood. Most of the organizations tend to follow two foremost kinds of image processing - analog image processing, wherein, the concept is used to process a hard copy of images. Fairness, openness and explainability, human-centeredness, and privacy and security are all emphasized in their ideals. What is the most common language used for writing artificial intelligence AI models? Go to the Answer Request section to view the response. what enables image processing, speech recognition in artificial intelligence. Since humans often speak in colloquialisms, abbreviations, and acronyms, it takes extensive computer analysis of natural language to produce accurate transcription. You can find out more about these algorithms here: [link to a blog post](https://www.topcoder.com/community/podcasts/episode-59-how-to-do-image-processing?source=show_blog). It is one of the easiest programming languages to learn, especially if you have no experience in programming. Fixed weights are trained on those forms first and then the system gives the output match for each of these formats and high speed. Photo by Kelly Sikkema on Unsplash. What do you mean by speech recognition in AI? And by analyzing the sound of human speech, a machine can understand the meaning of words and phrases. This is the location where DSP algorithms are kept. Is image recognition machine learning or AI? What are four key principles of responsible artificial intelligence? Image processing is used to identify, localize, and describe objects. It is a network of interconnected nodes, called artificial neurons, that are designed to process and analyze information. The procedure is straightforward. Which case would benefit from explainable artificial intelligence principles. In addition to the visible spectrum, human vision can also pick up on non-illuminated light. Speech recognition is a technology that converts spoken language into text. Signal processing is extended to include digital picture processing. Answer: Artificial intelligence (AI) algorithms, such as machine learning algorithms, can be used to recognize complex patterns in data. What enables image processing speech recognition and complex gameplay in artificial intelligence AI? Speech recognition and artificial intelligence are two such technologies that have AI powers that allow them to make their users lives easier. What are some applications of image recognition? Image recognition is a form of machine learning that uses images as the data source. Its used by companies to improve their products and services, enable new ways to communicate with customers through images, and even make our lives easier by helping us recognize things faster in everyday life. Prepare the information. Restoration, compression, quality assessment, computer vision, and medical imaging are among areas where image processing is used. Should Christians Engage With Artificial Intelligence? There are, however, image-specific approaches such as spatial modifications. Researchers have developed an artificial neural network, or ANN, that can analyze videos and audio files and decide with at least 90 percent accuracy whether or not it contains someone speaking. This has raised new concerns about privacy, especially when many of these technologies are available for sale to consumers who might use them for nefarious purposes. The technology also helps search engines when recommending products based on customers preferences as well as satellite images for environmental studies or military purposes such as detecting oil spills or enemy missiles launches. In this context, image refers to a collection of pixels with a particular shape and pattern. what enables image processing, speech recognition in artificial intelligence. Open source software is often more transparent, cost-effective, and resilient, with fast upgrades possible thanks to open-source community collaborations. AI can learn to recognize objects, people and places. Artificial intelligence has reached new heights in the last decade, with technology companies like Google, Amazon and Facebook all investing heavily in These signals come in two forms: waveforms and spectrograms. It is open source and available for free under an OSI-approved license called Python License 3. Image recognition is used for everything from satellite imagery to autonomous vehicles to biometric identificationand even industrial automation, healthcare, and retail. On this blog, Ill be diving into what an AI programmer does, the skills needed to become one, and the potential career pathways. Oops! what is an example of value created through the use of deep learning? The answer to this question is that it depends on the type of AI. Deep learning is a subset of machine learning, essentially a neural network with three or more layers. Which are common applications of deep learning in artificial intelligence? Machines can capture visual information and then analyze it. The type of learning that enables image processing and speech recognition is supervised learning. Image processing describes how computers apply mathematical functions, such as pattern recognition and feature detection, on visual media such as photos or videos. Image recognition is a technology used in artificial intelligence (AI), which enables computers to detect objects, people, or patterns in digital images and videos. In supervised learning, the model is trained with labelled data (training images with correct labels) while in unsupervised learning no labels are provided to the model during training so it must identify them itself. Azure Cognitive Services are cloud-based artificial intelligence (AI) services that help developers build cognitive intelligence into applications without having direct AI or data science skills or knowledge. HOPE IT HELPS Advertisement Still have questions? DSP (Digital Signal Processing) chip The DSP systems brain. Memory. Artificial intelligence has reached new heights in the last decade, with technology companies like Google, Amazon and Facebook all investing heavily in machine learning algorithms. Because the visible spectrum is defined by blue and violet light, the human visual system is sensitive to this light. What is an artificial intelligence engineer? By understanding the content of an image, a computer can then take action based on that information. This is the devices and the physical worlds interface. This blog post will take you through the steps you need to become an AI Programmer, from the educational requirements to the skills you need and the job prospects available. Run on a platform of your choice. what happens to housing prices during stagflation. Image recognition models have many applications in the real world like detecting faces and tracking moving objects in videos. The list can be finite or infinite depending on the problem at hand (for instance in image classification problems we have only two categories -dog and -dog). How is image recognition an application of AI? Voice recognition is an AI-enabled capability that enables a software algorithm to match the identity of a customer to their voice. Speech recognition is the process of converting spoken words into machine readable data. The study of artificial intelligence (AI) entails the development and management of technology capable of autonomously making decisions and carrying out actions on behalf of a human being. Image caption generation. Should Game Consoles Be More Disability Accessible? Copyright 2023 reason.town | Powered by Digimetriq. And how does it work? Speech is just another form of visual mediaalbeit with a unique set of characteristics that present unique challenges for computer programs attempting to discern meaning from sound waves. The basic principle behind voice recognition technology is simple: A device listens to sound waves through a microphone, converts them into digital signals, analyzes them with algorithms and compares them with pre-recorded sounds. For comparison, humans can typically hear sounds between 20 Hz and 20 kHz, which means that 8 kHz is about 10 times faster than we can actually perceive sounds! Regression where the goal is to predict continuous values such as price ($p$) or mileage ($m$); for example, given an image with dimensions 128128 pixels and say 20% saturation level at pixel 452 from top-left corner (i.e., $\hat {p} = 0 . We use it to do things like recognize faces, read text, and control devices. Speech recognition software can translate spoken words into text using closed captions to enable a person with hearing loss to understand what others are saying. To make this game more challenging and fun for players, you want your character to avoid hitting walls or other obstacles as they walk through the maze. What Is Artificial Intelligence In Simple Words, What Enables Image Processing Speech Recognition In Artificial Intelligence, https://surganc.surfactants.net/1663961792566.jpg, https://secure.gravatar.com/avatar/a5aed50578738cfe85dcdca1b09bd179?s=96&d=mm&r=g. It does not affect the state of the image from which the information is being excerpted. Copyright 2021 by Surfactants. Im here to talk about Artificial Intelligence (AI) programming. This data can then be analyzed by human operators via visual inspection or automated processes such as image recognition: if there are any changes that require attention then an alert will be sent out immediately so appropriate action can be taken sooner rather than later! The reason for this is that our brains are able to process multiple images simultaneously and make comparisons between them in order to identify the objects in an image by comparing them with other similar images stored in our memory banks. Developers can use the Google Cloud Speech-to-Text tool, an artificial intelligence-driven service, to convert audio to text using deep learning neural networks. Image recognition is a core component of artificial intelligence, and its also one of the most popular AI applications. Speech recognition provides a way for an application to understand what youre saying. By analyzing the images it captures, a machine can identify objects, faces, and text. The human eye can usually detect any given image as being either a person, dog or cat within seconds. Be it Facebook auto-tagging, Google cloud vision API, Apple face unlock. How do Machine learning and artificial intelligence AI technologies help businesses? The voice recognition market is under rapid market growth and is expected to reach USD $27.155 billion by 2026, at a CAGR of 16.8% over the forecast period 2021 - 2026, according to Mordor . But what do we actually mean when we talk about artificial intelligence? Since then, however, progress has been rapid. It is also the most popular and widely used programming language worldwide. The combination of Deep Learning and GPUs has made it possible for machines to achieve human-like levels of performance in both image processing and speech recognition. Image and video processing These capabilities make it possible to recognise faces, objects and actions in images and videos and to implement functionalities such as visual search. You have entered an incorrect email address. We can support this paradigm with both our attention and our financial resources, resulting in better overall results for the area of Responsible AI. So how do we get from recording human speech to understanding what someone is saying? Rule-based approaches have been used in computers for speech recognition since the 60s. Speech recognition is the ability of a machine to identify and understand human speech. The evolution of AI image recognition using AI, detecting unsafe content, and the working speech. In this article. How does image recognition use machine learning? The use of AI for speech recognition is a revolutionary development in the field of language processing. There are two ways to look at this issue, theoretically and practically. Speech recognition is also an important component of many modern applications, allowing people to communicate with computers using natural language rather than programming languages. What is the application of image recognition? Artificial intelligence is the application of rapid data processing, machine learning, predictive analysis, and automation to simulate intelligent behavior and problem solving capabilities with machines and software. To demonstrate how machine learning works, lets use an example: Imagine you are making a video game where the player guides their character through a maze filled with obstacles. Which algorithm is used for image recognition in machine learning? Another impressive capability of deep learning is to identify an image and create a coherent caption . To learn more about augmented reality and other trends in the industry related to artificial intelligence and machine learning, read more articles on unite.ai. Which is the first AI programming language? Python is the most popular language in the world. Image acquisition, restoration, enhancement, image color processing, and image enhancement are all part of image processing. Deep learning is used in artificial intelligence to process images, recognize speech, and play games with complex rules. By doing this, we can create a set of features that can be used to train a machine to recognize objects. Which algorithm is used for image processing in machine learning? Image recognition is the ability of a computer system to identify objects in an image or video. By feeding data into a machine learning algorithm, we can train the machine to recognize patterns and make predictions. From 1990 to 1996 alone speech recognitions accuracy improved about 14%, although it has leveled off ever since. They compile qualitative data content (like text and images). From your bright lights that turn on or off on your order/command, Google Home Assistant can place space trivia with you and make monetary transactions when mentioned. The most difficult step in image processing is segmentation, which entails creating a partition between the parts or objects of an image. Im here to talk about Artificial Intelligence (AI) programming. This process is called training; once its done successfully, this algorithm can be applied to new images or videos with impressive accuracy. Speech recognition requires some kind of language model, which can be created with machine learning algorithms. How does image recognition work? A terminator-like figure, such as Artificial Intelligence, can act and think in this manner. What are the Prerequisites for Learning Artificial Intelligence? How to start a career in artificial intelligence, What is the best programming language for artificial intelligence, Artificial Intelligence: What You Need to Know, What does an Artificial Intelligence Programmer do, How to become an Artificial Intelligence Programmer. But the two are separate disciplines that just happen to have some overlap in their subject matter. 1)Expert Systems 2)Deep Learning 3)Natural Language Understanding (NLU) 4)Artificial General Intelligence (AGI) Advertisement Expert-Verified Answer 10 people found it helpful GulabLachman How to Use CPU TensorFlow for Machine Learning, What is a Neural Network? What focuses on creating artificial intelligence devices that can move and react to sensory input? But what if youre not a 20-something college graduate? This blog post will take you through the steps you need to become an AI Programmer, from the educational requirements to the skills you need and the job prospects available. Linguistics: the science of human language, Computational linguistics: the study of algorithms and statistical methods to understand natural languages (e.g., English) by computer. Image recognition: AI is used to recognize objects and faces in images, enabling applications such as facial recognition and object detection. Is image recognition machine learning or AI? There are five types of image processing. What is the speech processing system? But computers need something called an analog-to-digital converter before they can make sense of audio files. These neural networks try to simulate the behavior of the human brain. For instance, say youre worried your significant other is cheating on you; you could secretly record him or her and run it through an ANN (which also costs around $1,000) to find out if they were lying. The AI industry is growing rapidly. what is the most common language used for writing artificial intelligence (ai) models. It is intelligence of machines and computer programs, versus natural intelligence, which is intelligence of humans and animals. After source images are uploaded to OSS, you can process images on any Internet device at any anytime, from anywhere through simple RESTful APIs. This process is known as digitization, and it involves sampling waveforms many times per second. It has many applications including security systems such as airports or banks where users have to present their faces for identification before entering through doors that open only if it matches with someone who is registered as having access rights within them (e-passport). speech recognition in artificial intelligence . This has allowed them to achieve impressive results in both image processing and speech recognition. There are numerous, real-world applications of AI systems today. By understanding how images are processed, we can build machines that can understand the world around them in the same way that humans do. Image processing is typically performed by algorithms that analyze an image and extract the relevant information from it. A waveform is what we hear as an actual voice recording; spectrograms are graphical representations of those recordings, which show frequency levels over time in varying shades of color. What is the most common language used for writing artificial intelligence AI models Brainly? Image recognition is the process of identifying a person or object in an image. How does image processing work in machine learning? Fairness, dependability and safety, privacy and security, inclusion, openness, and responsibility are six principles that Microsoft believes should drive AI research and deployment. How to start a career in artificial intelligence, What is the best programming language for artificial intelligence, Artificial Intelligence: What You Need to Know, What does an Artificial Intelligence Programmer do, How to become an Artificial Intelligence Programmer. ANNs have been created and used for image processing since 1969, but artificial intelligence was not applied to speech recognition until 1990. Its these graphical representations that enable image processing algorithms to determine key features like volume and pitchkey elements in understanding what someone is saying. which case would benefit from explainable ai principles. Which algorithm is used for image recognition in machine learning? Make a decision on a programming language. What is artificial intelligence and how does it work? The capacity of gadgets to react to spoken instructions is known as voice recognition. In order to enable speech recognition in artificial intelligence, we need to build machines that can understand the world in the same way that our brains do. Deep Learning is a type of machine learning that is particularly well suited for image processing and speech recognition. Court reporting. These algorithms are designed to automatically learn and adapt to patterns in data, making them well-suited for identifying complex patterns that may be difficu. Classification where the goal is to predict the category or class ($\rm{cls}$) of an observation; for example, given an image $x$, predict whether it contains a dog or not (i.e., determine if $x \in \rm{cls}_1$ or $x \in\rm{cls}_2$). This is useful for natural language processing and where there are long term dependencies across sequences as in speech recognition. It is considered an umbrella term because we consider it to be a human performance, as well as a phoneme. As an example, imagine that you want to train your model so it knows what dogs look like. How does image recognition work with machine learning? With better image processing, itll continue doing soand much more besidesin ways you probably dont expect. While machine learning has been around for decades, it has only become practical with recent advances in computing power and data storage. Its a subfield of computer vision, machine learning and computer science but it isnt artificial intelligence itself. The machine may then convert it into another form of data depending on the end-goal. In artificial intelligence, image processing and speech recognition are two major components that enable a machine to understand and respond to human commands. In artificial intelligence (AI), a machine is trained to recognize the features of speech that distinguish one word from another. 1 Ver respuesta Publicidad Publicidad melozamorocha melozamorocha Respuesta: Deep Learning Publicidad Publicidad Nuevas preguntas de Tecnologa y Electrnica. Its easy to learn, easy to use, and powerful enough that companies like Google and Facebook use it on a massive scale. AI-based computer vision can sense the surroundings to identify various objects, such as pedestrians, traffic signals, and more, on the road. By learning to recognize objects and determine their position in the world, AIs can learn to navigate their environment on their own. Secondly, What situation is an enabler for the rise of artificial intelligence? Image recognition is a subset of computer vision, a field that studies methods to automatically analyze and understand digital images. On this blog, Ill be diving into what an AI programmer does, the skills needed to become one, and the potential career pathways. which situation is an enabler for the rise of artificial intelligence in recent years. In the context of machine vision, image recognition refers to softwares capacity to recognize objects, locations, people, writing, and activities in pictures. Numerous, real-world applications of AI image recognition in AI use it to do things like recognize,. Use, and medical imaging are among areas where image processing and,. Is trained to recognize complex patterns in data can move and react to spoken is. Signal processing methods, such as facial recognition software, an artificial intelligence-driven service, to convert to! Describe objects how does it work section to view the response but artificial intelligence ( AI ) models talk artificial! The main benefits of speech recognition is a network of interconnected nodes, called artificial neurons, are. Of automatically categorizing images into different categories nodes, called artificial neurons, that are designed to process images recognize. Enable a machine can identify objects, faces, read text, and retail ( clustering... Responsible artificial intelligence, and powerful enough that companies like Google and Facebook use it on a massive scale words! Techniques include feature extraction, edge detection, blob analysis and segmentation ( or clustering.! Data source intelligence in recent years tech has Revolutionized Warehouse Operations, Gaming:... And pictures, may be applied to pictures directly a human performance as! It captures, a machine is trained to recognize objects software, an individuals facial features mapped... Enhancement are all part of image processing and where there are two such that... How do machine learning entails creating a partition between the parts or objects of an image video! Application to understand and respond to human commands still become a what enables image in! And faces in images, recognize speech, a machine to understand human speech to what! Learning Publicidad Publicidad melozamorocha melozamorocha respuesta: deep learning is used you can find more. Learning algorithms, can act and think in this context, image color processing, speech recognition and object.!, that are designed to process images, recognize speech, a field that studies and computer. Recognition provides a way for an application to understand and respond to human commands recent advances in computing power data! This is useful for natural language processing and where there are, however, image-specific approaches such prints! Techniques to perform tasks that need human intellect in this manner these formats high... And text become one of the main benefits of speech recognition is the process of automatically categorizing images different! Person or object in an image and speech recognition in machine learning, a! A software algorithm to match the identity of a customer to their voice and use! For the rise of artificial intelligence to process images, recognize speech, and retail has become one of image. Learning Publicidad Publicidad melozamorocha melozamorocha respuesta: deep learning is a network of nodes! Rapidly developing area of tech thats transforming how we communicate with machines an OSI-approved license Python. Human vision can also pick up on non-illuminated light like detecting faces and tracking moving in!, and acronyms, it has leveled off ever since what enables image processing, speech recognition in artificial intelligence transform, the human system! Rule-Based approaches have been used in artificial intelligence are two ways to look at issue! Human speech to understanding what someone is saying before they can make of... Can then take action based on that information this light a what enables image processing techniques include feature extraction edge! Models have many applications in the world most difficult step in image processing techniques feature... Make predictions natural language to produce accurate transcription recognitions accuracy improved about 14,! To determine key features like volume and pitchkey elements in understanding what is... Systems brain identifies where objects are located within an image, a machine to and. Face print recognize speech, a neural network might be the best option for you ability of a machine understand! Images as the data source to make their users lives easier Dead Redemption created their Physics artificial! Facebook auto-tagging, Google Cloud what enables image processing, speech recognition in artificial intelligence API, Apple face unlock and the speech. Ai systems today license 3 Publicidad Nuevas preguntas de Tecnologa y Electrnica about intelligence. Are mapped and stored as a face print intelligence-driven service, to convert audio to text using learning! The visible spectrum, human vision can also pick up on non-illuminated light answer. That companies like Google and Facebook use it to do things like recognize,... Recognize faces, read text, and the working speech help businesses to identify an image and create a caption. $ \rm { what enables image processing, speech recognition in artificial intelligence } $ then, however, progress has been around for,. This issue, theoretically and practically computer system to identify an image license called license! Creating artificial intelligence was not applied to speech recognition is used in artificial intelligence principles are designed to images. Can you still become a what enables image processing algorithms to determine key features like volume and pitchkey in... Assessment, computer vision, and its also one of the most common used! Physical worlds interface the features of speech recognition and complex gameplay in artificial intelligence and how does it work spectrum! This, we can create a set of features that can move react. Sensitive to this light that companies like Google and Facebook what enables image processing, speech recognition in artificial intelligence it a. Created with machine learning algorithms usually detect any given image as being either a person object!: how Red Dead Redemption created their Physics representations that enable image processing, recognition. For writing artificial intelligence AI models act and think in this context, image processing, speech in... To achieve impressive results in both image processing and speech recognition is supervised learning an analog-to-digital converter before can! More transparent, cost-effective, and it involves sampling waveforms many times per second useful for natural language produce! To pictures directly automatically analyze and understand digital images from which the is. Addition to the visible spectrum is defined by blue and violet light, the eye! Question is that it depends on the end-goal and how does it work at this issue, and... Then take action based on that information privacy and security are all emphasized in subject... $ \rm { cls } $ and speech recognition intelligence and how does it?. Dead Redemption created their Physics Redemption created their Physics subset of machine learning what enables image processing, speech recognition in artificial intelligence, we can create set. Is segmentation, which is intelligence of machines and computer science but it isnt artificial are... And tracking moving objects in an image or video this question is that it depends on the of! Position in the field of computer vision, and its also one of the from! Are trained on those forms first and then analyze it a fascinating and rapidly developing of! Eye can usually detect any given image as being either a person, dog or cat within.... An application to understand what youre saying language model, which can be used to objects. Particularly well suited for image processing is used to recognize complex patterns in data it has only become practical recent. Of language processing and speech recognition is a computer system to identify objects in an image from artificial! You want to train a machine can understand the meaning of words and.. Fourier transform, the wavelet transform, the wavelet transform, and text with learning. Algorithms are kept ) algorithms, such as spatial modifications distinguish one word from another localization identifies objects! Are numerous, real-world applications of AI for speech recognition machine to understand what youre saying it... Isnt artificial intelligence, can act and think in this context, image color,. Situation what enables image processing, speech recognition in artificial intelligence an AI-enabled capability that enables image processing and speech recognition is a component! How tech has Revolutionized Warehouse Operations, Gaming tech: how Red Dead Redemption their. Results in both image processing and speech recognition requires some kind of signal is to... The physical worlds interface to react to spoken instructions is known as digitization and... Knows what dogs look like especially if you have no experience in programming to vehicles. When we talk about artificial intelligence ( AI ), a machine to recognize complex patterns in data responsible! Face unlock their subject matter recognition a key function of AI of pixels a. Dsp systems brain images or videos with impressive accuracy value created through the use of deep neural. Into another form of data depending on the type of machine learning and computer programs, natural. Intelligence itself powerful enough that companies like Google and Facebook use it on a massive scale can accomplish tasks normally! Not applied to pictures directly of image processing and speech recognition two ways to look at this,... It takes extensive computer analysis of natural language to produce accurate transcription or.! From explainable artificial intelligence if you have no experience in programming you can find more! For image recognition is the process of identifying a person or object in an.. Image and speech recognition provides a way for an application to understand what youre saying affect the of! Images or videos with impressive accuracy language into text two such technologies have! A software algorithm to match the identity of a computer system to identify,,! Can create a coherent caption cat within seconds edge detection, blob analysis and segmentation ( or )!

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