Αποτελέσματα Αναζήτησης
8 Οκτ 2019 · In the last decade, it is much easier to use deep learning techniques with a few lines of python code to distinguish between dog breeds in images. In this blog, I will walk you through how to create Convolutional Neural Networks (CNN) from scratch and leverage the latest state of art image classification techniques on ImageNet.
26 Νοε 2021 · The objective of this project was to build a CNN to classify images of dogs by breed. A successful model will take a user-supplied image as input, and if the model finds a dog in the picture...
28 Ιουλ 2023 · The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determine the dog’s breed. The proposed work uses various deep ...
This paper is based on a project which builds a CNN (Convolutional Neural Network) to classify different dog breeds. If the image of a dog is found, this algorithm would find the estimate of the breed. The resembling dog breed is identified if the image of a human is supplied.
15 Δεκ 2023 · This study aimed to assess the effectiveness of using pre-trained models to extract biometric information, specifically the dog breed and dog identity, from images of dogs.
1.1 Aim of the study. This thesis aims to explain the development and underlying technological specifications of a DL model that uses the Fast.ai library to develop a CNN to solve an image classification problem by identifying dog breeds in images.
In this project, you will learn how to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
