Document Liveness Challenge (DLC-2021) - part 1 (or, cg)
Creators
- 1. Smart Engines Service LLC, Moscow, Russia; Federal Research Center "Computer Science and Control" RAS, Moscow, Russia; National University of Science and Technology MISIS, Moscow, Russia
- 2. Smart Engines Service LLC, Moscow, Russia; Moscow Institute of Physics and Technology, Dolgoprodny, Russia
- 3. Smart Engines Service LLC, Moscow, Russia; Lomonosov Moscow State University, Moscow, Russia
- 4. Smart Engines Service LLC, Moscow, Russia; Federal Research Center "Computer Science and Control" RAS, Moscow, Russia
- 5. Smart Engines Service LLC, Moscow, Russia; Institute for information transmission problems (Kharkevich Institute) RAS, Moscow, Russia
- 6. L3i Laboratory, La Rochelle University, La Rochelle, France
Contributors
Contact person:
- 1. Smart Engines Service LLC, Moscow, Russia; Federal Research Center "Computer Science and Control" RAS, Moscow, Russia; National University of Science and Technology MISIS, Moscow, Russia
Description
Dataset DLC-2021 consists of 1424 video clips captured in a wide range of real-world conditions and focused on ID document forensics tasks. Each clip was shot vertically and was at least 5 seconds long. Frames extracted at 10 frames per second and for the 50 first extracted frames document position is manually annotated.
The novelty of the dataset is that it contains shots from video with color laminated mock ID documents, color unlaminated copies, grayscale unlaminated copies, and screen recaptures of the documents. The proposed dataset complies with the GDPR because it contains images of synthetic IDs with generated owner photos and artificial personal information.
Part 1 contains videos, frames and markup for “original” laminated documents from MIDV-2020 collection and unlaminated gray copies.
Part 2 contains videos, frames and markup for documents recaptured from device screen
Part 3 contains videos, frames and markup for unlaminated color copies.
Files
cg.zip
Files
(33.9 GB)
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md5:0cbeb2c527c8267e2e081093c00955c2
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md5:b6a3edabe7f718393dcbd369023acbd9
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md5:d444201c7239c654a6afad7606c7ea46
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md5:2b7400d830c39eb792908265c936565d
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439 Bytes | Preview Download |
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md5:b65f0d7c886d66a50664764efa521d9a
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md5:cbf519a82ae89dd7d3c4c070f119e5ae
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5.3 kB | Preview Download |
Additional details
Related works
- Is continued by
- Dataset: 10.5281/zenodo.6466770 (DOI)
- Dataset: 10.5281/zenodo.6466764 (DOI)