Image classification is one of the classical problems of Computer Vision, and with the advent of deep convolutional neural networks, more and more fine-grained classification problems are being addressed every day. In the presented work, we try to train a deep neural network to distinguish between dog breeds based on their photographs. We also try to isolate the exact image features that uniquely identify each dog breed and gain some insight on how the classification method of a computer compares with that of a human
Object recognition has become an extremely popular topic in today’s world as it is one of the core p...
In this paper, the performances of well-known image recognition methods such as Principal Component ...
A method of measuring cattle parameters using neural network methods of image processing was propose...
Deep learning gives the strength on the way to train algorithms model that can handle the difficulti...
Image processing has been getting great attention recently in the field of machine learning and deep...
The use of convolutional neural networks has been applied to various applications. Such as image cla...
A huge money is involved in pet insurance and medical treatments of pets. Missing pet is a global is...
Deep learning has obtained many successes in different computer vision tasks such as classification,...
Abstract In this paper, we introduce an image dataset for fine-grained classification of dog breeds:...
The main objective of this research is to develop an image recognition system for distinguishing dog...
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an im...
In modern society, there are dogs and cats around people, as well as rare wild animals living in nat...
In recent years, there has been a remarkable surge in the popularity of dog grooming, which has resu...
Cat is one of the most popular pets. There are many cat breeds with unique characteristic and treatm...
Purpose: Identification of individual cow breeds may offer various farming opportunities for disease...
Object recognition has become an extremely popular topic in today’s world as it is one of the core p...
In this paper, the performances of well-known image recognition methods such as Principal Component ...
A method of measuring cattle parameters using neural network methods of image processing was propose...
Deep learning gives the strength on the way to train algorithms model that can handle the difficulti...
Image processing has been getting great attention recently in the field of machine learning and deep...
The use of convolutional neural networks has been applied to various applications. Such as image cla...
A huge money is involved in pet insurance and medical treatments of pets. Missing pet is a global is...
Deep learning has obtained many successes in different computer vision tasks such as classification,...
Abstract In this paper, we introduce an image dataset for fine-grained classification of dog breeds:...
The main objective of this research is to develop an image recognition system for distinguishing dog...
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an im...
In modern society, there are dogs and cats around people, as well as rare wild animals living in nat...
In recent years, there has been a remarkable surge in the popularity of dog grooming, which has resu...
Cat is one of the most popular pets. There are many cat breeds with unique characteristic and treatm...
Purpose: Identification of individual cow breeds may offer various farming opportunities for disease...
Object recognition has become an extremely popular topic in today’s world as it is one of the core p...
In this paper, the performances of well-known image recognition methods such as Principal Component ...
A method of measuring cattle parameters using neural network methods of image processing was propose...