Generated Imagewoof Dataset
Description
This repository contains the dataset used for the generative-data-augmentation
project. The dataset is organized as follows:
Dataset Structure
analysis/
: This directory contains analysis related to the dataset.metadata/
: This directory contains the list of file path used for theSynthetic (Noisy)
andSynthetic (Clean)
datasets.synthetic/
: This directory contains the image files. Each folder represents a class.
Metadata Files
metadata/synthetic-cleaned.txt
: This file contains the file paths for theSynthetic (Clean)
dataset.metadata/synthetic-noisy.txt
: This file contains the file paths for theSynthetic (Noisy)
dataset.
Analysis Files
analysis/imageGen_trace_clip.csv
: This file contains the trace data for the generated images, with similarity scores.analysis/imageGen_trace_input_clip_mean.csv
: This file contains the pivot table for the mean CLIP similarity scores for the generated images by interpolation steps.analysis/imageGen_trace_ssim_i_avg.csv
: This file contains the pivot table for the mean SSIM scores for the generated images by interpolation steps.analysis/imageGen_trace.csv
: This file contains the trace data for the generated images, without similarity scores.analysis/ori_synth_regplot.svg
: This file contains the regression plot for the similarity scores between the original and synthetic images.analysis/ssim_regplot.svg
: This file contains the regression plot for the SSIM scores between the original and synthetic images.analysis/text_synth_regplot.svg
: This file contains the regression plot for the similarity scores between the synthetic images and the text embeddings.analysis/val.json
: This file contains the evaluation results of the baseline classifier on the validation dataset, which identified the top 5 misclassified classes for each class in the dataset.
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