Object Recognition Question & AnswersJuly 7, 2021 By WatElectronics This article lists 100+ Object Recognition MCQs for engineering students. All the Object Recognition Questions & Answers given below includes solution and link wherever possible to the relevant topic.Rational function tester will not recognize the objects with the help of look and feel, but it finds out the object with the help of properties and its values. When we execute a particular test will get a log file and that log file shows recognition failures and warnings. Object recognition will be divided into two parts, it finds outs the object based on the recognition weights and recognition thresholds. Object detection and object recognition are some of the common computer vision problems which deal with identifying and locating objects of certain classes in the image. 1). How many types of recognition are there in artificial intelligence?OneTwoThreeFourHintThere are three types of recognition are there in artificial intelligence they are content-based image retrieval, biometric identification, and handwriting recognition 2). The vision recognizes the ______ActivitiesObjectBoth a and bNone of the aboveHintThe vision recognizes the activities and also an objects 3). The random variables are of _________ typesOneTwoThreeFourHintThe random variables are of three types they are continuous, discrete, and Boolean random variables 4). _________ is an application of document image analysisOptical character recognitionJunk mail filteringInformation extractionAll of the aboveHintOptical character recognition is an application of document image analysis 5). _________ is an application of the speech recognition domainOptical character recognitionJunk mail filteringInformation extractionTelephone directory assistanceHintTelephone directory assistance is an application of the speech recognition domain 6). What is the standard form of ALPR?Automatic License Plate RecognitionAutomatic License Plate ReaderLicense Plate RecognitionNone of the aboveHintThe standard form of ALPR is Automatic License Plate Reader 7). _________ are the components of object recognition systemModel database, hypothesizerFeature detector, hypothesis verifierBoth a and bNone of the aboveHintModel database, hypothesizer, feature detector, and hypothesis verifier are the components of an object recognition system 8). The face recognition system used in _____Biometric identificationHuman and computer interfaceBoth a and bNone of the aboveHintThe Human and computer interface face recognition system used in biometric identification, human and computer interface 9). In a face recognition system the complications occur due to variations in ________Facial expressionsPoseIlluminationAll of the aboveHintIn a face recognition system the complications occur due to variations in facial expressions, pose, illumination, etc 10). What is the standard form of ANPR?Automatic Number Plate RecognitionAutomatic Number Plate ReaderLicense Plate RecognitionNone of the aboveHintThe standard form of ANPR is Automatic Number Plate Recognition 11). The facial recognition uses _______ techniquesFacial geometryFacial thermogramSkin pattern recognition, smileAll of the aboveHintThe facial recognition uses facial geometry, facial thermogram, skin pattern recognition, and smile techniques 12). Which one is a fingerprint matching technique?Pattern matchingMinutiae-based matchingBoth a and bNone of the aboveHintBoth pattern matching and minutiae-based matching are fingerprint matching techniques 13). ________ is an application of the medical domainOptical character recognitionComputer-aided diagnosisFruit sortingNone of the aboveHintCompute-aided diagnosis is an application of the medical domain 14). ________ is an application of the remote sensingOptical character recognitionComputer-aided diagnosisFruit sortingForecasting remote yieldHintForecasting remote yield is an application of the remote sensing 15). What is the standard form of LPR?License Plate ReaderAutomatic License Plate ReaderLicense Plate RecognitionNone of the aboveHintThe standard form of LPR is License Plate Recognition 16). What is the standard form of AVI?Automatic Volume IdentificationAutomatic Vehicle IdentificationAutomatic Voice IdentificationNone of the aboveHintThe standard form of AVI is Automatic Vehicle Identification 17). What is the standard form of MLPR?Mobile Plate RecognitionMobile License Plate RecognitionMobile License Plate ReaderNone of the aboveHintThe standard form of MLPR is Mobile License Plate Reader 18). __________ are the applications of an object recognitionDriverless carsMedical image processingMonitoring and surveillanceAll of the aboveHintDriverless cars, medical image processing, monitoring, and surveillance, etc are the applications of an object recognition 19). ________ can be represented by using empirical frequency distributions or histogramsColorsTextureBoth a and bNone of the aboveHintColors, textures can be represented by using empirical frequency distributions or histograms 20). For studying object recognition ___________ learning provides a frameworkSupervisedUnsupervisedBoth a and bNone of the aboveHintFor studying object recognition supervised learning provides a framework 21). How many approaches are there to perform object recognition using deep learning?OneTwoThreeFourHintThere are two approaches are there to perform object recognition using deep learning they are training a model from scratch and using a pre-trained deep learning model 22). The segmentations are of ____ typesOneTwoThreeFourHintThe segmentations are of two types they are instance and semantic segmentation 23). __________ are the examples of object detection in real-timeTracking objectsPeople countingPerson detectionAll of the aboveHintTracking objects, people counting, person detection are examples of object detection in real-time 24). __________ are the difficulties in object recognition under varied circumstancesLighting, rotation, positioningMirroring, occlusion, scaleBoth a and bNone of the aboveHintLighting, rotation, positioning, mirroring, occlusion, scale is the difficulties in object recognition under varied circumstances 25). _________ are the main tasks in object recognitionClassification, taggingDetection, segmentationBoth a and bNone of the aboveHintClassification, tagging, detection, and segmentation are the main tasks in object recognitionObject Recognition MCQs for Quiz 26). What is the standard form of CNN?Computer Neural NetworkComputer Network NeuralConvolutional Neural NetworkNone of the aboveHintThe standard form of CNN is Convolutional Neural Network 27). Which one is an instance-based method of object recognition?Decision stumpRandom forestK-nearest neighborNone of the aboveHintK-Nearest Neighbor(K-NN) is an instance-based method of object recognition 28). Which one comes under the decision tree learning method of object recognition?Bayesian belief networkRandom forestLinear discriminant analysisNone of the aboveHintRandom forest comes under the decision tree learning method of object recognition 29). Which one comes under the bayesian method of object recognition?Bayesian belief networkDecision stumpRandom forestNone of the aboveHintBayesian belief network comes under the bayesian method of object recognition 30). What is the standard form of RBF?Radial Basis FractionRadial Basis FunctionRadial Base FractionNone of the aboveHintThe standard form of RBF is Radial Basis Function 31). What is the standard form of LDA?Linear Deep Learning AnalysisLinear Determinant AnalysisLinear Discriminant AnalysisNone of the aboveHintThe standard form of LDA is Linear Discriminant Analysis 32). Which one comes under clustering methods of object recognition?K-meansExpectation maximizationBoth a and bNone of the aboveHintK-means and expectation-maximization both come under clustering methods of object recognition 33). What is the standard form of SOM?Self Organizing MapSimple Organizing MapSelf Organizing MachineNone of the aboveHintThe standard form of SOM is Self Organizing Map 35). __________ comes under artificial neural networkPerceptionBackpropagationHopfield networkAll of the aboveHintPerception, backpropagation, and Hopfield network comes under artificial neural network 36). ________ are the deep learning methods of object recognitionRestricted Boltzman MachineDeep belief networksConvolutional network, and stacked autoencoderAll of the aboveHintRestricted Boltzman machine, deep belief networks, convolutional network, and stacked auto-encoder are the deep learning methods of object recognition 37). What is the standard form of RBM?Regional Boltzman MachineRestricted Boltzman MachineRadial Boltzman MachineNone of the aboveHintThe standard form of RBM is Restricted Boltzman Machine 38). What is the standard form of LVQ?Linear Variant QuantizationLinear Vector QuantizationNon-linear Variant QuantizationNone of the aboveHintThe standard form of LVQ is Linear Vector Quantization 39). What is the standard form of DBN?Deep Belief NetworksDeep Boltzman NetworksDiscriminant Belief NetworksNone of the aboveHintThe standard form of DBN is Deep Belief Networks 40). What is the standard form of HMM?Hidden Markov ModelHidden Markov MachineHidden Machine ModelNone of the aboveHintThe standard form of HMM is Hidden Markov Model 41). Which one is a type of neural network?Bayesian networksLinear networksProbabilistic networksAll of the aboveHintBayesian networks, linear networks, probabilistic networks all are neural networks 42). How many layers does a linear network have?OneTwoThreeFourHintThe linear networks have two layers they are input layer and output layer 43). _________ are the commonly used predictive data mining methodsDecision trees, logistic regressionArtificial neural networks, support vector machinesNaive Bayes, Bayesian network, k nearest neighborAll of the aboveHintDecision trees, logistic regression, artificial neural networks, support vector machines, naive Bayes, Bayesian network, and k nearest neighbor are the commonly used predictive data mining methods 44). __________ is an example of local discovering algorithmNaive BayesTree augmented naive BayesSemi interleaved HITON PCAll of the aboveHintSemi interleaved HITON PC is an example of the local discovering algorithm 45). _________ are the examples of hybrid structure learning algorithmsMax-min hill climbingNaive BayesTree augmented naive BayesAll of the aboveHintMax-min hill climbing is an example of hybrid structure learning algorithms 46). ___________ are the example of constraint-based structure learning algorithmsGrow shrinkHill climbingTabu searchAll of the aboveHintGrow shrink is an example of constraint-based structure learning algorithms 47). ___________ are the example of score-based structure learning algorithmsNaive BayesHill climbingBoth a and bNone of the aboveHintHill climbing is an example of score-based structure learning algorithms 48). __________ are the popular inference methodsClique tree propagationVariable eliminationRecursive conditioningAll of the aboveHintClique tree propagation, variable elimination, and recursive conditioning are the popular inference methods 49). _______ are the Bayesian networks inferenceParameter learningStructure learningDeducing unobserved variablesAll of the aboveHintParameter learning, structure learning, deducing unobserved variables are the Bayes networks inference 50). __________ are the examples of generative modelsNaive Bayes clasifierSVMBoosted decision treesAll of the aboveHintNaive Bayes classifier is an example of generative modelsObject Recognition MCQs for Students 51). __________ are the examples of discriminative modelsNaive bayes clasifierSVMBayesian networkAll of the aboveHintSVM is example of discriminative models 52). ____________ are the typical associative classification methodsCBACMARCPARAll of the aboveHintCBA, CMAR, CPAR are the typical associative classification methods 53). What is the standard form of CMAR?Classification Based on Association RulesClassification Based on Multiple Association RulesClassification Based on Predictive Association RulesNone of the aboveHintThe standard form of CMAR is Classification Based on Multiple Association Rules 54). What is the standard form of CPAR?Classification Based on Predictive Association RecognitionClassification Based on Periodic Association RulesClassification Based on Predictive Association RulesNone of the aboveHintThe standard form of CPAR is Classification Based on Predictive Association Rules 55). Which one is a deterministic algorithm?SVMNeural networkBoth a and bNone of the aboveHintSVM is a deterministic algorithm 56). The neural networks are _________Relatively oldNon-deterministic algorithmEasy to learnAll of the aboveHintThe neural networks are relatively old, it is a non-deterministic algorithm, and it is very easy to learn 57). The SVM is __________Relatively new conceptDeterministic algorithmHard to learnAll of the aboveHintThe SVM is a relatively new concept, it is a deterministic algorithm, and it is hard to learn 58). _________ are the common applications of SVMFace detectionHandwriting recognitionBioinformaticsAll of the aboveHintFace detection, Handwriting recognition, Bioinformatics are the common applications of SVM 59). The mathematical portion used in bioinformatics are ______Matrices, differentiation/integrationBiostatisticsComplex mathematics functionsAll of the aboveHintThe mathematical portion used in bioinformatics are matrices, differentiation/integration, biostatistics, and complex mathematics functions 60). ________ are the properties of SVMDuality, kernelsMargin, convexitySparsenessAll of the aboveHintDuality, kernels, margin, convexity, sparseness are the properties of SVM 61). Which one is a non-deterministic algorithm?SVMNeural networkBoth a and bNone of the aboveHintNeural network is a non-deterministic algorithm 62). The genetic algorithm composed of ___________ operatorsReproductionMutationCrossoverAll of the aboveHintThe genetic algorithm composed of reproduction, mutation, and crossover operators 63). The advantages of genetic algorithms are ______Easy to implementEasy to understandGood for noisy environmentsAll of the aboveHintThe genetic algorithms are easy to implement and understand, and good for noisy environments 64). The disadvantages of genetic algorithms are ______Slower than some other methodsChoosing fitness and encoding is difficultTakes a long time to find a near-optimal solutionAll of the aboveHintThe genetic algorithms are Slower than some other methods, choosing fitness and encoding is difficult, and it takes a long time to find a near-optimal solution 65). The advantages of fuzzy logic are _________Easy to analyzeLow costEasy to understandAll of the aboveHintThe fuzzy logic are easy to analyze and understand and the cost of fuzzy logic is low 66). The disadvantages of fuzzy logic are _________Not stableComplex to designOnly provides a crude sizingAll of the aboveHintThe fuzzy logic are complex to design, not stable, and it only provides a crude sizing 67). The advantages of artificial neural network are ________PowerfulEasy to useAlter to unknown conditionsAll of the aboveHintThe artificial neural network are powerful, easy to use, and alter to unknown conditions 68). The disadvantages of artificial neural network are ________Large complexity of network structureDifficult to know how many layers and neurons are necessaryLearning can be slowAll of the aboveHintIn artificial neural network complexity of network structure is large, difficult to know how many layers and neurons are necessary, and learning can be slow in an artificial neural network 69). The configuration of fuzzy logic consists of _______ modulesKnowledge baseDecision-making logicDefuzzification interface, fuzzification interfaceAll of the aboveHintThe configuration of fuzzy logic consists of a knowledge base, decision-making logic, defuzzification interface, and fuzzification interface modules 70). An artificial intelligence used in _________CommunicationTransportationIntegrated applicationsAll of the aboveHintAn artificial intelligence used in Communication, Transportation, and Integrated applications 71). __________ are the applications of face detectionWebcams that tracks the userBanking using ATMBiometrics/access controlAll of the aboveHintWebcams that tracks the user, Banking using ATM, Biometrics/access control, etc are the applications of face detection 72). What is the standard form of FRCNN?First Convolutional Neural NetworkFirst Region Convolutional Neural NetworkFaster Region Convolutional Neural NetworkNone of the aboveHintThe standard form of FRCNN is Faster Region Convolutional Neural Network 73). What is the standard form of SSD?Single Shot DetectorSimple Shot DetectorSingle Shot Multibox DetectorNone of the aboveHintThe standard form of SSD is Single Shot Multibox Detector 74). What is the standard form of SVMs?Single Vector MachinesSimple Vector MachinesSupport Vector MachinesNone of the aboveHintThe standard form of SVMs is Support Vector Machines 75). _______ are the machine learning techniquesSVM machine learning modelBag of words modelViola jones algorithmAll of the aboveHintSVM machine learning model, Bag of words model, Viola jones algorithm are machine learning techniquesObject Recognition MCQs for Interviews 76). What is the standard form of YOLO?You Only Look OnceYou Once Look OnlyYou Look OnceNone of the aboveHintThe standard form of YOLO is You Only Look Once 77). Which one is an application of neural networks?Data validationRisk managementBoth a and bNone of the aboveHintData validation, and Risk management both are applications of neural network 78). In __________ the decision nodes are representedSquaresCirclesTrianglesRectangleHintIn squares, the decision nodes are represented 79). In __________ the chance nodes are representedCirclesTrianglesRectangleSquaresHintIn circles, the chance nodes are represented 80). In __________ the end nodes are representedCirclesTrianglesRectangleSquaresHintIn triangles, the end nodes are represented 81). In closed classes _________ objects are availableOneTwoThreeFourHintIn closed classes four objects are available they are conjunction, preposition, article, and pronoun 82). In parsing ________ states are availableOneTwoThreeFourHintIn parsing three states are available they are goal test, initial test, and successor function 83). Which method deals with a pattern?Decision theoretic methodStructure methodBoth a and bNone of the aboveHintDecision theoretic method and structure methods deals with a pattern 84). The pattern recognition task consists of __________ stepsOneTwoThreeFourHintThe pattern recognition task consists of two steps they are feature selection and matching 85). The classifiers categorized into ______ methodsOneTwoThreeFourHintThe classifiers categorized into two methods they are decision-theoretic methods, and structure methods 86). __________ are the structural methodsMatching shape numbersString matchingSyntactic methodAll of the aboveHintMatching shape numbers, string matching, syntactic method are the structural methods 87). What are the disadvantages of matching shape numbers?Mirror problem intensity b) c)dColor is unable to recognizeCannot use for a hallow structureAll of the aboveHintIn matching shape numbers color is unable to recognize, and it cannot uses for a hallow structure, and another disadvantage is mirror problem intensity 88). Which is a method of object recognition?Decision tree learningBayesianKernel methodsAll of the aboveHintDecision tree learning, Bayesian, and Kernel methods all are a method of object recognition 89). The advantages of decision tree regression are _______Very easy to interpret or visualizeWorks on both non-linear and linear problemsNo need to do feature scalingAll of the aboveHintThe decision tree regression is very easy to interpret or visualize, works on both non-linear and linear problems, and there is no need to do feature scaling 90). The random forest regression are ________Very powerfulVery accurateVery good performance for both non-linear and linear problemsAll of the aboveHintThe random forest regression is very powerful & accurate, and the performance is very good for both non-linear and linear problems 91). The SVR _________Works very well on non-linear problemsCan be easily adaptedNot biased by outliersAll of the aboveHintThe SVR Works very well on non-linear problems, it can be easily adapted, and not biased by outliers 92). The polynomial regression _________Works on any size of dataWorks best for non-linear problemsBoth a and bNone of the aboveHintThe polynomial regression works on any size of data and also works best for non-linear problems 93). The linear regression _____________Works with almost any kind of datasetGives quite good information about the featuresBoth a and bNone of the aboveHintThe linear regression works with almost any kind of dataset and gives quite good information about the features 94). The advantages of face detection are ________Full automationHigh accuracy ratesImprovement of security levelAll of the aboveHintThe full automation, high accuracy rates, improvement of security level are the advantages of face detection 95). The disadvantages of SVR are ________Not a familiar modelQuiet difficult to understandBoth a and bNone of the aboveHintThe SVR is not a familiar model and it is quite difficult to understand 96). The disadvantages of face detection are ______Lower processing speedSurveillance angleImage size and qualityAll of the aboveHintIn face detection the processing speed is low, Surveillance angle, Image size, and quality are the disadvantages 97). The disadvantages of decision tree regression are _______Poor results on small datasetsOverfitting can easily occurBoth a and bNone of the aboveHintIn decision tree regression the results on small datasets are poor and overfitting can easily occur in decision tree regression 98). The template matching is sensitive to ______NoiseOcclusionsBoth a and bNone of the aboveHintThe template matching is sensitive to noise and occlusions 99). The pixel-level template matching is of _______ typeOneTwoThreeFourHintThe pixel-level template matching is of four types they are total templates, partial templates, piece templates, and flexible templates 100). __________ are the template matching applications3D reconstructionMotion detectionObject recognitionAll of the aboveHint3D reconstruction, motion detection, object recognition are the template matching applicationsRead more about Face Recognition Time is Up!