Computer Vision Intern Interview Questions and Answers

Softmax loss is a function used in classification tasks to calculate the probability distribution of classes. It cannot be used in hidden layers due to its non-differentiability.

• Softmax loss is used in the output layer of neural networks for multi-class classification tasks.

• It calculates the probability distribution of classes by normalizing the output scores using the softmax function.

• Softmax loss is not used in hidden layers because it is non-differentiable, which makes bac...read more

Program to rotate, convert to greyscale, and generate gaussian noise in a given picture.

• Use OpenCV library for image processing functions

• Rotate the image using cv2.rotate() function

• Convert the image to greyscale using cv2.cvtColor() function

• Generate gaussian noise using cv2.randn() function

Object detection identifies objects in an image, while segmentation assigns a label to each pixel in the image.

• Object detection involves identifying and locating objects within an image.

• Segmentation assigns a class label to each pixel in an image, creating a pixel-wise mask.

• Object detection typically outputs bounding boxes around objects, while segmentation outputs pixel-level masks.

• Object detection is used for tasks like counting objects in an image, while segmentation is us...read more

Otsu threshold is a method used for image segmentation to automatically calculate the optimal threshold value for binarizing an image.

• Otsu thresholding is used to separate foreground and background pixels in an image by finding the threshold that minimizes the intra-class variance.

• It is based on the assumption that the image contains two classes of pixels (foreground and background) with different intensity distributions.

• The method calculates the threshold that maximizes the ...read more

Developed a project using convolutional neural networks for image classification.

• Implemented CNN architecture for image classification tasks

• Used popular frameworks like TensorFlow or PyTorch

• Trained the model on large datasets like CIFAR-10 or ImageNet

Threading in Python allows for concurrent execution of multiple tasks.

• Use the 'threading' module in Python to create and manage threads.

• Threads can be created by subclassing the 'Thread' class and implementing the 'run' method.

• Use the 'start' method to start a thread and the 'join' method to wait for a thread to finish.

• Avoid shared resources among threads to prevent race conditions.

Code to reverse a string using array manipulation.

• Create an array of characters from the input string.

• Iterate through the array in reverse order and append each character to a new string.

• Return the reversed string.