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0
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1
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The main aim of whitening is to reduce data redundancy
asked
Dec 23, 2021
in
Image Classification
data-redundancy
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1
answer
The major function of PCA is to decompose a ________________________ into a set of successive orthogonal components
asked
Dec 23, 2021
in
Image Classification
pca-decompose
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1
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CNN is mainly used in
asked
Dec 23, 2021
in
Image Classification
cnn
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1
answer
Confusion Matrix is a technique used to evaluate the performance of a classifier.
asked
Dec 23, 2021
in
Image Classification
confusion-matrix
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vote
1
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Which preprocessing technique is used for dimensionality reduction?
asked
Dec 23, 2021
in
Image Classification
preprocessing-technique
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votes
1
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True Positive is when _____________
asked
Dec 23, 2021
in
Image Classification
prediction-true-positive
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1
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The technique used to evaluate a classifier by dividing the data set into a train set to train the classifier and a test set to test the same is __________
asked
Dec 23, 2021
in
Image Classification
image-classifier
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1
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Normalization is the process of converting ___________
asked
Dec 23, 2021
in
Image Classification
normalization-process
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1
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Confusion Matrix is not a technique used to evaluate the performance of a classifier
asked
Dec 23, 2021
in
Image Classification
confusion-matrix
0
votes
1
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In the SVD method, a digital image is decomposed into ________ matrices
asked
Dec 23, 2021
in
Image Classification
svd-method
digital-image
0
votes
1
answer
True Negative is when ______________
asked
Dec 23, 2021
in
Image Classification
true-negative-prediction
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1
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Cross validation gives high variance if the testing set and training set are not drawn from the ______________________
asked
Dec 23, 2021
in
Image Classification
image-variance
0
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1
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A normalized image has ___________
asked
Dec 23, 2021
in
Image Classification
normalize-image
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1
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SIFT stands for ________________
asked
Dec 23, 2021
in
Image Classification
sift
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votes
1
answer
Noise can be removed using Data Preprocessing
asked
Dec 23, 2021
in
Image Classification
data-preprocessing
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1
answer
Data Partitioning will help us to know efficiency of model
asked
Dec 23, 2021
in
Image Classification
data-partitioning
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1
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Singular values obtained from the SVD process utilizes ___________
asked
Dec 23, 2021
in
Image Classification
svd-process
0
votes
1
answer
Allowing training data to be included in testing data will give actual performance results
asked
Dec 23, 2021
in
Image Classification
trainng-data
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1
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Allowing training data to be included in testing data will not give actual performance results
asked
Dec 23, 2021
in
Image Classification
image-testing-data
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votes
1
answer
The major steps involved in image classification are ___________
asked
Dec 23, 2021
in
Image Classification
image-classification-steps
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1
answer
The data is split into _________ sets
asked
Dec 22, 2021
in
Image Classification
data-sets
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votes
1
answer
The steps involved in building a classification model are
asked
Dec 22, 2021
in
Image Classification
classification-model
0
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1
answer
Conventional classification algorithms on image data
asked
Dec 22, 2021
in
Image Classification
conventional-classification-algorithms
conventional
classification-algorithms
0
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1
answer
Scikit Learn is an machine learning python package.
asked
Dec 22, 2021
in
Image Classification
scikit-learn
0
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1
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___________________________ is defined as the percentage of correct predictions
asked
Dec 22, 2021
in
Image Classification
correct-prediction
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1
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CNN is a algorithm in which it comes under
asked
Dec 22, 2021
in
Image Classification
cnn-algorithm
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1
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Data Preprocessing is a step the raw data is converted into a form suitable for subsequent analysis
asked
Dec 22, 2021
in
Image Classification
data-preprocessing
raw-data
0
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1
answer
The main aim of using SIFT for feature extraction is to obtain features that are not sensitive to changes in scale, rotation, image resolution, illumination, etc.
asked
Dec 22, 2021
in
Image Classification
sift-features
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The main aim of using SIFT for feature extraction is to obtain features that are very sensitive to changes in scale, rotation, image resolution, illumination, etc.
asked
Dec 22, 2021
in
Image Classification
sift-use
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1
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In cross validation, the number of samples used for training the model is _____________
asked
Dec 22, 2021
in
Image Classification
cross-validation
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