AmAFakePerson123/TrialforGeneratedIDs

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.

The developer's website: VGG Image Annotator

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