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--- |
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license: apache-2.0 |
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task_categories: |
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- image-classification |
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- image-to-image |
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language: |
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- en |
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pretty_name: Generated Imagewoof |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Generated Imagewoof Dataset |
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## Description |
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This repository contains the dataset used for the `generative-data-augmentation` project. The dataset is organized as follows: |
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## Dataset Structure |
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- `analysis/`: This directory contains analysis related to the dataset. |
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- `metadata/`: This directory contains the list of file path used for the `Synthetic (Noisy)` and `Synthetic (Clean)` datasets. |
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- `synthetic/`: This directory contains the image files. Each folder represents a class. |
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## Metadata Files |
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- `metadata/synthetic-cleaned.txt`: This file contains the file paths for the `Synthetic (Clean)` dataset. |
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- `metadata/synthetic-noisy.txt`: This file contains the file paths for the `Synthetic (Noisy)` dataset. |
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## Analysis Files |
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- `analysis/imageGen_trace_clip.csv`: This file contains the trace data for the generated images, with similarity scores. |
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- `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. |
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- `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. |
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- `analysis/imageGen_trace.csv`: This file contains the trace data for the generated images, without similarity scores. |
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- `analysis/ori_synth_regplot.svg`: This file contains the regression plot for the similarity scores between the original and synthetic images. |
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- `analysis/ssim_regplot.svg`: This file contains the regression plot for the SSIM scores between the original and synthetic images. |
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- `analysis/text_synth_regplot.svg`: This file contains the regression plot for the similarity scores between the synthetic images and the text embeddings. |
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- `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. |
