There are 0 repository under stanford-dogs-dataset topic.
kaggle Dog Breed Identification
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
Dogs Breeds Classification With TFLite Using Stanford Dogs Breeds Dataset.
The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning
Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning
FGVC project with the Stanford Dogs dataset.
ML + MobileApp = JaDIS
Applying Transfer Learning on Stanford Dogs Dataset
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
Stanford dogs dataset breed classification with Xception (CNN)
Using transfer learning on a CNN to build a 120 breed dog classifier