# MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream

arXiv: https://arxiv.org/abs/1807.05786 · HTML: https://mlsanity.com/paper/1807.05786/

## Key facts

- Cited by 33 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jul 2018.

## Built on by (most cited first, 30 of 33)

- [MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis](https://mlsanity.com/paper/2107.00396/) (2021)
- [Synthetic ID Card Image Generation for Improving Presentation Attack Detection](https://mlsanity.com/paper/2211.00098/) (2022)
- [First Competition on Presentation Attack Detection on ID Card](https://mlsanity.com/paper/2409.00372/) (2024)
- [Augraphy: A Data Augmentation Library for Document Images](https://mlsanity.com/paper/2208.14558/) (2022)
- [A Survey on Deep learning based Document Image Enhancement](https://mlsanity.com/paper/2112.02719/) (2021)
- [Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2)](https://mlsanity.com/paper/2508.11716/) (2025)
- [IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection](https://mlsanity.com/paper/2408.01690/) (2024)
- [FantasyID: A dataset for detecting digital manipulations of ID-documents](https://mlsanity.com/paper/2507.20808/) (2025)
- [DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis](https://mlsanity.com/paper/2407.20662/) (2024)
- [Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries](https://mlsanity.com/paper/2409.06842/) (2024)
- [Advanced Hough-based method for on-device document localization](https://mlsanity.com/paper/2106.09987/) (2021)
- [SynID: Passport Synthetic Dataset for Presentation Attack Detection](https://mlsanity.com/paper/2505.07540/) (2025)
- [Towards an Efficient Semantic Segmentation Method of ID Cards for Verification Systems](https://mlsanity.com/paper/2111.12764/) (2021)
- [FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection](https://mlsanity.com/paper/2504.07761/) (2025)
- [Improving Presentation Attack Detection for ID Cards on Remote Verification Systems](https://mlsanity.com/paper/2301.09542/) (2023)
- [Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?](https://mlsanity.com/paper/2506.05263/) (2025)
- [Identity Card Presentation Attack Detection: A Systematic Review](https://mlsanity.com/paper/2511.06056/) (2025)
- [Proposing an Interactive Audit Pipeline for Visual Privacy Research](https://mlsanity.com/paper/2111.03984/) (2021)
- [Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style](https://mlsanity.com/paper/2312.13993/) (2023)
- [Identity documents recognition and detection using semantic segmentation with convolutional neural network](https://mlsanity.com/paper/2503.01085/) (2025)
- [From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection](https://mlsanity.com/paper/2607.01442/) (2026)
- [Tiny CNN for feature point description for document analysis: approach and dataset](https://mlsanity.com/paper/2109.04134/) (2021)
- [Effective Online Exam Proctoring by Combining Lightweight Face Detection and Deep Recognition](https://mlsanity.com/paper/2206.13356/) (2022)
- [VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection](https://mlsanity.com/paper/2301.04447/) (2023)
- [HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space](https://mlsanity.com/paper/2402.02946/) (2024)
- [Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents](https://mlsanity.com/paper/2405.06701/) (2024)
- [ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset](https://mlsanity.com/paper/2508.13078/) (2025)
- [VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection](https://mlsanity.com/paper/2605.10229/) (2026)
- [Temporal Modeling of Optically Variable Devices in Identity Documents](https://mlsanity.com/paper/2607.06408/) (2026)
- [Verification of Dynamic Holographic Behavior in Identity Documents](https://mlsanity.com/paper/2607.06466/) (2026)

## Abstract (arXiv)

A lot of research has been devoted to identity documents analysis and recognition on mobile devices. However, no publicly available datasets designed for this particular problem currently exist. There are a few datasets which are useful for associated subtasks but in order to facilitate a more comprehensive scientific and technical approach to identity document recognition more specialized datasets are required. In this paper we present a Mobile Identity Document Video dataset (MIDV-500) consisting of 500 video clips for 50 different identity document types with ground truth which allows to perform research in a wide scope of document analysis problems. The paper presents characteristics of the dataset and evaluation results for existing methods of face detection, text line recognition, and document fields data extraction. Since an important feature of identity documents is their sensitiveness as they contain personal data, all source document images used in MIDV-500 are either in public domain or distributed under public copyright licenses. The main goal of this paper is to present a dataset. However, in addition and as a baseline, we present evaluation results for existing methods for face detection, text line recognition, and document data extraction, using the presented dataset. (The dataset is available for download at ftp://smartengines.com/midv-500/.)