CV tasks Flashcards
What is the goal of Image Classification in computer vision?
Image Classification assigns a single label to an entire image, identifying its primary content or category.
What does Object Detection achieve in vision tasks?
Object Detection identifies and localizes multiple objects within an image by drawing bounding boxes around them.
What is the purpose of Semantic Segmentation in vision tasks?
Semantic Segmentation assigns a class label to each pixel in an image, segmenting it into regions based on content.
What distinguishes Instance Segmentation from Semantic Segmentation?
Instance Segmentation not only labels pixels but also differentiates between distinct instances of the same object class.
What is Panoptic Segmentation, and how is it unique?
Panoptic Segmentation combines semantic and instance segmentation, labeling all pixels while distinguishing object instances.
What is the objective of Pose Estimation in computer vision?
Pose Estimation predicts the positions of key body joints or landmarks, often for human or object poses in images or videos.
What does Face Recognition accomplish in vision tasks?
Face Recognition identifies or verifies individuals based on facial features extracted from images or videos.
What is the goal of Image Generation in computer vision?
Image Generation creates new images from learned data distributions, often using generative models like GANs.
What does Anomaly Detection focus on in vision tasks?
Anomaly Detection identifies unusual or rare patterns in images, often used in defect detection or surveillance.
What is Depth Estimation in computer vision?
Depth Estimation predicts the distance of objects in an image from the camera, producing a depth map for 3D understanding.
