stanford-dogs-dataset

mv-lab/ViT-FGVC8

"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8

E-tanok/ComputerVision_stanford_dogs_dataset

This project is a study that compares two machine learning approches (Feature extraction with SIFT descriptors and deep learning) in order to classify dogs races (Stanford dogs dataset). A flask application is built from the weights of the final deep neural network trained : http://bit.ly/mk_cv_dogs

mahmutcankurt/DogsBreedsRecognitionWithTensorFlowLite

Dogs Breeds Classification With TFLite Using Stanford Dogs Breeds Dataset.

mouniraziz/MsKPRN

The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning

mouniraziz/AGLRs

Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning

stefannae/MLND---Fine-Grained-Visual-Categorization-Project

FGVC project with the Stanford Dogs dataset.

aka-vm/Hello-CV

This repository performs Computer-Vision tasks on multiple Image Datasets using CNN based Networks.

Jeff09/Kaggle-Dog-Breed-Identification

Potentiak/JustADogIdentificationService

ML + MobileApp = JaDIS

versi379/Dog-Breed-Classification

Stanford dogs dataset breed classification with Xception (CNN)

ambideXtrous9/Dog_Breed_Classification-StanfordDogsDataset

Applying Transfer Learning on Stanford Dogs Dataset

FrozenWolf-Cyber/Dog-Breed-Classifier

Tuning different Pytorch/Tensorflow pre-trained models like ResNet50 , Wide ResNet_50.2 , VGG16 and a custom CNN model to classify a dog image among 120 breeds

shree-prada/Stanford-Dogs-Dataset-Image-Classification

Utilizing CNNs for image classification of 120 dog breeds in the Stanford Dogs Dataset.

yashy3nugu/Stanford-Dogs-InceptionV3

Using transfer learning on a CNN to build a 120 breed dog classifier