# `3d-printed-or-not`: An Image Dataset of 3D-printed Prototypes
This dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both web scraping and direct collection from engineering labs and workspaces at Penn State University. The initial data was then augmented using several data augmentation techniques including rotation, noise, blur, and color shifting. This results in 25,760 images in each class. 

task_categories:image-classification annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:cc-by-4.0 engineering additive manufacturing 3d printing region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": [], "pretty_name": "3d-Printed Or Not?", "doi": "10.1016/j.dib.2019.104691", "tags": ["engineering", "additive manufacturing", "3d printing"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "3d_printed", "1": "not_3d_printed"}}}}], "splits": [{"name": "train", "num_bytes": 663853489.6, "num_examples": 51520}], "download_size": 497323960, "dataset_size": 663853489.6}}
TAGS
#task_categories-image-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #engineering #additive manufacturing #3d printing #region-us 

# '3d-printed-or-not': An Image Dataset of 3D-printed Prototypes
This dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both web scraping and direct collection from engineering labs and workspaces at Penn State University. The initial data was then augmented using several data augmentation techniques including rotation, noise, blur, and color shifting. This results in 25,760 images in each class. 

# '3d-printed-or-not': An Image Dataset of 3D-printed Prototypes
This dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both web scraping and direct collection from engineering labs and workspaces at Penn State University. The initial data was then augmented using several data augmentation techniques including rotation, noise, blur, and color shifting. This results in 25,760 images in each class.
TAGS
#task_categories-image-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #engineering #additive manufacturing #3d printing #region-us 
 # '3d-printed-or-not': An Image Dataset of 3D-printed Prototypes
This dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both web scraping and direct collection from engineering labs and workspaces at Penn State University. The initial data was then augmented using several data augmentation techniques including rotation, noise, blur, and color shifting. This results in 25,760 images in each class.