Synthetic Brazilian Documents Database (SBR-Doc Database)
Ground Truth
Ground Truth of the images for SBR-Doc Database
2021-08-22 (v. 1)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Keywords
Documents Database, ICDAR 2021 Competition, Image segmentation, Signature segmentation, documents analysis
Description
Ground Truth (GT) images are divided into three groups:
- Task 1- GT for Document boundary segmentation (15,000 images);
- Task 2- GT for Text segmentation by zone (15,000 images);
- Task 3- GT for Handwritten signature segmentation (15,000 images).
Because of this, it is possible to train and test your model with one or all of the tasks you need.
| File | Type | Size | Downloads | Description |
|---|---|---|---|---|
| edge_segmentation_gt.7z | data | (411 MB) | 8 | Ground Truth for Document boundary segmentation (Task 1) |
| signature_segmentation_gt.7z | data | (221 MB) | 7 | Ground Truth for Handwritten signature segmentation (Task 3) |
| textfield_segmentation_gt.7z.001 | data | (650 MB) | 3 | Ground Truth for Text segmentation by zone (Task 2) |
| textfield_segmentation_gt.7z.002 | data | (631 MB) | 3 | Ground Truth for Text segmentation by zone (Task 2) |
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