Datasets:
image
imagewidth (px) 384
7.02k
| label
class label 2
classes |
---|---|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
|
0multiple_column
|
End of preview. Expand
in Dataset Viewer.
Description
These scripts generate a dataset for testing and training the orientation classifier.
- The scripts/ folder contains all the necessary scripts
- The src/ folder contains images of document pages. In src/one_column there are single-column documents, in src/multiple_column there are multi-column documents
About generation scripts:
scripts/gen_dataset.py - generates an output dataset for model training and testing. It rotates document images and creates a label.csv markup file in each dataset
- "-i", "--input_path_img": source folder absolute path
- "-o", "--output_path_img": absolute path for output folder
- "-l", "--output_path_lbl": absolute path for label file, by deafult it is contained in output folders
scripts/get_imgs_from_pdf.py - just to help if you want to add images to the src folder from different pdfs
- "-i", "--input_path_img": source folder absolute path
- "-o", "--output_path_img": absolute path for output folder
- Downloads last month
- 0