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The image classification is the process to categorize images into one of several classes or categories. In this project, there are seven categories (Piano, Kangaroo, Strawberry, Sunflower, Airplane, Face and Leopard). Classification requires training for each image category. The image categories are learned through a training process and an image is annotated in terms of the learned categories. Figure 1 shows the overall process of the image classification. This image classification can be used for automatic generation of keyword metadata and for efficient searching and leverage of archived content.
Question 1: (a)Using your awareness of typography and design, make a new logo manually for one of the following. The logo should compulsorily consist of the name and may or may
The goal of this assignment is to implement procedures/functions using x86 assembly. In addition to implementing procedures/functions, this assignment requires to pass arguments us
File Formats that are used for Vector Data This data can be saved in a wide variety of file formats are as: •EPS: the most well-accepted file format to exchange vector dra
Adavantage and disadvantages of DDA and Bresenhams line drawing algorithm
what is zooming and panning in computer graph please explan??
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(a) Differentiate between the following compression algorithm: 1. Shannon -Fano Algorithm and 2. Huffman Encoding (b) A statistical encoding algorithm is being considered
Curves and Surfaces - Modeling and Rendering We have studied the method of drawing curves in diverse coordinate systems. Also we got the concept that it is the revolution of
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2D Clipping Algorithms Clipping is an operation that eliminates invisible objects from the view window. To understand clipping, recall that when we take a snapshot of a scene,
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