--- 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/) --------------------------------------------------------------------------------