IMG classification in sklearn quiz

What does the cv2.resize() function do?

• Rotates the image

• Changes the image brightness

• Crops the image

• Resizes the image to new dimensions

How are image features typically represented when using scikit-learn classifiers?

• As raw images

• As string labels

• As flattened numerical arrays

• As text files

Which function from scikit-learn is commonly used to split datasets into training and testing sets?

• train_test_split()

• split_data()

• dataset_split()

• image_split()

What is the output of cv2.imread("image.jpg", cv2.IMREAD_GRAYSCALE)?

• A color image

• A binary image

• A grayscale image

• An RGB image

Before training with scikit-learn, what must be done to each image?

• Save as .txt

• Convert to histogram

• Resize and flatten into a 1D array

• Convert to PDF

Which function loads images using OpenCV?

• cv2.load()

• cv2.open()

• cv2.imread()

• cv2.fetch()

Which of the following techniques is commonly used to increase the amount of images in a dataset artificially?

• Regularization

• Normalization

• Augmentation

• Pooling

What is the role of a convolutional layer in a CNN?

• Reduce the size of input data

• Transform image into grayscale

• Extract local features using filters

• Classify input images

Which loss function is typically used for multi-class image classification (in deep learning)?

• Mean Squared Error

• Hinge Loss

• Binary Crossentropy

• Categorical Crossentropy

What is overfitting in image classification?

• When a model has low recall

• When a model underperforms on training data but does well on testing data

• When a model memorizes training data and fails to generalize

• When a model has low variance