Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
annotations_creators: | |
- expert-generated | |
language: | |
- en | |
language_creators: | |
- found | |
license: | |
- cc-by-4.0 | |
multilinguality: | |
- monolingual | |
pretty_name: 3d-Printed Or Not? | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
tags: | |
- engineering | |
- additive manufacturing | |
- 3d printing | |
task_categories: | |
- image-classification | |
task_ids: [] | |
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 | |
# `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. | |