Computer Vision
What is computer vision compare to the human what?
What is human sight/vision/brain/nervous system
What does CNN stand for?
What is Convolutional Neural Networks?
What is a technology that uses distinctive facial traits to identify or confirm a person from a picture or video
What is Facial Recognition?
What NLP task is this?
Filtering out spam emails in gmail
What is Text classification?
This type of learning gets trained on a "Labeled Dataset". These labelled datasets have both input and output parameters.
What is Supervised Learning?
What is one of the task Computer vision is used for?
What is...
Object Recognition
Face Recognition
Image Segmentation
Optical Character Recognition (OCR)
Is it Face Detection or Face Recognition?
Input uses image or video frames while the Output uses a bounding box
What is Face Detection?
What type of input data does NLP take?
What is text or speech data?
This type of learning finds hidden patterns, groups or relationships within the data on its own. Meaning it works with unlabeled data, meaning there are no predefined outputs.
What is Unsupervised Learning?
What are the different concepts of Computer vision?
What is Image Processing, Object Detection. Image Classification and Feature Extraction
(any order)
What are the key Components of CNN
Input Layers, Convolutional Layer, Activation Layer, Pooling layer, Flattening layer, Fully connected layer,
What are one of the many problems Facial Recognition faces?
What is...
-faces appear at side angles or under extreme head rotations.
-Facial expressions such as smiling, crying, or surprise
-Natural aging changes facial features over time
-Poor lighting, masks, sunglasses, or partially covered faces
-Imbalanced training datasets
-Systems can be fooled using photographs, videos, masks, or AI-generated deepfakes without anti-spoofing mechanisms.
What are the 6 steps of of the Natural Language Process?
What is Text or Speech Input, Pre-processing, Language Analysis, Model training, Text Representation and Embedding Techniques and Output Generation?
This type of learning learns through trial and error by receiving rewards for correct actions and penalties for wrong ones.
What is Reinforcement Learning?
What are the different steps of how Computer Vision works?
What is Image Acquisition, Preprocessing, Feature Detection, Pattern Recognition and Decision Making?
What is the 4 applications of CNN?
What is Image classification, Object Detection, Image Segmentation and Video Analysis?
What are the key concepts in Facial Recognition?
What is Face detection, Face Alignment, Feature Extraction, and Face Matching?
(Any order)
What are the NLP tasks?
What is Text classification, Sentiment analysis, Machine translation, Named Entity Recognition and Text summarization?
Predicts continuous values and learns the relationship between input features and a numerical target variable.
What is regression?
What are Generative Adversarial Networks (GANs) used for?
What is used in advanced CV tasks such as generating realistic images or improving low-quality images and work by having two components challenging each other to improve their results.
What is a complete CNN architecture. Which is a sequence of layers and every layer transforms one volume to another through a differentiable function.
What is a covnets?
Does what uses Haar Cascades, HOG, CNN detectors for there common algorithm
What is Face Detection?
What is the cleaning process that changing all words into the same case for uniform processing. (converting lowercase)
What is Case folding?
What type of Unsupervised learning uses theses techniques?
What is Association Rule Learning?