A Python toolkit for evaluating the quality of classification models for tasks of Zero-Shot Learning (ZSL) including the models construction with different insides (e.g. miscellaneous NN architectures), procedure for training and saving models for further evaluation.
NOTE: in the figure above there are examples of Python scripts and its names. Please note that it is work names for visualizing the structure of the project.
Step 1: datasets loading
Go to scripts directory and run downloading scripts. Example:
cd ./scripts
./cub_download.sh
All datasets are placed in data directory