The dataset contains images extracted from the COCO dataset that have been tested in the Recursive Modality Changes process: a caption is extracted from an image and used to generate a new image. The process is repeated in a loop. For the extraction of the description was used GPT-4o and for the generation of the images DALL-E3. A second experiment with a subset of the previous images have been done with Flux.1 and Phi-3.5   DescriptionThe dataset contains experiments of applying the RMC of length 40 generations from images that contains elements of the following categories: apples, elephants, fire-hydrants, persons, toilets, and trains. In total, there are 10 RMC loops per category (40106 = 2,400 images) and the comparison between the images and descriptions using the metrics LPIPS VGG, TF-IDF, BERT tokenizer, BLIP.1_coco_dataset: information from COCO images of each category2_categories: loops of each categoryresults_{category}experimentsresults_dall-e-3_hd_{style}{category} -> hd (high definition), style (vivid or natural) -> all the experiments of that {style} and {category} results_all.xlsx -> similarity with metrics LPIPS, TF-IDF, BLIP, BERT aggregatedexperiments{date}{style}{coco_id} -> each experiment from a coco imageimgs -> imagesimgs_resized -> resized imagesexperiment.json -> json with data of the experiment (description, number of generations, etc.)results.xlsx -> metrics of each individual loopimages_all.xlsx -> summary of all the images generated and their descriptionsinter-experiments_results.xlsx -> aggregated results of inter-trajectory experiments of this {category}intra-experiments_results.xlsx -> aggregated results of intra-trajectory experiments of this {category}3_combined results: combined results of all categoriesrsults_hd_labels{style} -> all the results from images generated with the same style (vivid or natural)images_all.xlsx -> summary of all imagesinter-exeriments_results_all.xlsxintra-experiments_results_all.xlsxresults_all_labels.xlsx -> summary of results per {category}4_different_styles -> experiments comparing styles (natural and vivid)PaperPaper: Cite:@misc{}

The dataset contains images extracted from the COCO dataset that have been tested in the Recursive Modality Changes process: a caption is extracted from an image and used to generate a new image. The process is repeated in a loop. For the extraction of the description was used GPT-4o and for the generation of the images DALL-E3. A second experiment with a subset of the previous images have been done with Flux.1 and Phi-3.5   DescriptionThe dataset contains experiments of applying the RMC of length 40 generations from images that contains elements of the following categories: apples, elephants, fire-hydrants, persons, toilets, and trains. In total, there are 10 RMC loops per category (40106 = 2,400 images) and the comparison between the images and descriptions using the metrics LPIPS VGG, TF-IDF, BERT tokenizer, BLIP.1_coco_dataset: information from COCO images of each category2_categories: loops of each categoryresults_{category}experimentsresults_dall-e-3_hd_{style}{category} -> hd (high definition), style (vivid or natural) -> all the experiments of that {style} and {category} results_all.xlsx -> similarity with metrics LPIPS, TF-IDF, BLIP, BERT aggregatedexperiments{date}{style}{coco_id} -> each experiment from a coco imageimgs -> imagesimgs_resized -> resized imagesexperiment.json -> json with data of the experiment (description, number of generations, etc.)results.xlsx -> metrics of each individual loopimages_all.xlsx -> summary of all the images generated and their descriptionsinter-experiments_results.xlsx -> aggregated results of inter-trajectory experiments of this {category}intra-experiments_results.xlsx -> aggregated results of intra-trajectory experiments of this {category}3_combined results: combined results of all categoriesrsults_hd_labels{style} -> all the results from images generated with the same style (vivid or natural)images_all.xlsx -> summary of all imagesinter-exeriments_results_all.xlsxintra-experiments_results_all.xlsxresults_all_labels.xlsx -> summary of results per {category}4_different_styles -> experiments comparing styles (natural and vivid)PaperPaper: Cite:@misc{}

The dataset contains images extracted from the COCO dataset that have been tested in the Recursive Modality Changes process: a caption is extracted from an image and used to generate a new image. The process is repeated in a loop. For the extraction of the description was used GPT-4o and for the generation of the images DALL-E3.  DescriptionThe dataset contains experiments of applying the RMC of length 40 generations from images that contains elements of the following categories: apples, elephants, fire-hydrants, persons, toilets, and trains. In total, there are 10 RMC loops per category (40106 = 2,400 images) and the comparison between the images and descriptions using the metrics LPIPS VGG, TF-IDF, BERT tokenizer, BLIP.1_coco_dataset: information from COCO images of each category2_categories: loops of each categoryresults_{category}experimentsresults_dall-e-3_hd_{style}{category} -> hd (high definition), style (vivid or natural) -> all the experiments of that {style} and {category} results_all.xlsx -> similarity with metrics LPIPS, TF-IDF, BLIP, BERT aggregatedexperiments{date}{style}{coco_id} -> each experiment from a coco imageimgs -> imagesimgs_resized -> resized imagesexperiment.json -> json with data of the experiment (description, number of generations, etc.)results.xlsx -> metrics of each individual loopimages_all.xlsx -> summary of all the images generated and their descriptionsinter-experiments_results.xlsx -> aggregated results of inter-trajectory experiments of this {category}intra-experiments_results.xlsx -> aggregated results of intra-trajectory experiments of this {category}3_combined results: combined results of all categoriesrsults_hd_labels{style} -> all the results from images generated with the same style (vivid or natural)images_all.xlsx -> summary of all imagesinter-exeriments_results_all.xlsxintra-experiments_results_all.xlsxresults_all_labels.xlsx -> summary of results per {category}4_different_styles -> experiments comparing styles (natural and vivid)PaperPaper: Cite:@misc{}

Raw data for all figures in the associated paper '3D biomimetic tongue-emulating surfaces for tribological applications'