AmAFakePerson123's picture
Create README.md
3f01fd0 verified
---
license: cc-by-sa-3.0
---
## Structure
The set of base document types for MIDV-2020 comprises 10 document types, each
present in previously published MIDV-500 and MIDV-2019 datasets. The identity
document types of MIDV-2020 are listed in Table DOCTYPES. 100 sample documents
were created for each of the 10 document types present in the dataset.
| # | Code | Description | MIDV-500 code |
|----|----------------------|-----------------------------|---------------|
| 1 | alb_id | ID Card of Albania | 01 |
| 2 | aze_passport | Passport of Azerbaijan | 05 |
| 3 | esp_id | ID Card of Spain | 21 |
| 4 | est_id | ID Card of Estonia | 22 |
| 5 | fin_id | ID Card of Finland | 24 |
| 6 | grc_passport | Passport of Greece | 25 |
| 7 | lva_passport | Passport of Latvia | 32 |
| 8 | rus_internalpassport | Internal passport of Russia | 39 |
| 9 | srb_passport | Passport of Serbia | 41 |
| 10 | svk_id | ID Card of Slovakia | 42 |
Original template images are placed in the `templates.tar` archive:
templates.tar: /images/ /CODE/ 00.jpg01.jpg... 99.jpg/annotations/CODE.json
Upright scans are placed in the `scan_upright.tar` archive.
scan_upright.tar: /images/ /CODE/ 00.jpg01.jpg... 99.jpg/annotations/ CODE.json
Rotated scans are placed in the same manner in `scan_rotated.tar`
scan_rotated.tar: /images/ /CODE/ 00.jpg01.jpg... 99.jpg/annotations/CODE.json
Photos are placed in the same manner in `photo.tar`:
photo.tar: /images/ /CODE/ 00.jpg01.jpg... 99.jpg/annotations/CODE.json
Photos were captured with different conditions, the condition can be identified
by the photo number:
| Capturing conditions and smartphone models | Samsung S10 | Apple iPhone XR |
|--------------------------------------------|-------------|-----------------|
| Low lighting | 80-89 | 70-79 |
| Keyboard in the background | 35-39 | 30-34 |
| Natural lighting, outdoors | 45-49 | 40-44 |
| Table in the background | 55-59 | 50-54 |
| Cloth in the background | 95-99 | 90-94 |
| Text documents in the background | 25-29 | 20-24 |
| Projective distortions | 10-19 | 00-09 |
| Highlight present | 65-69 | 60-64 |
All annotations are made using VGG Image Annotator (VIA) v2.0.11, which can be
obtained via this [link](https://www.robots.ox.ac.uk/~vgg/software/via/downloads/via-2.0.11.zip).
The developer's website: [VGG Image Annotator](https://www.robots.ox.ac.uk/~vgg/software/via/)
--------------------------------------------------------------------------------