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- GitHub - fcakyon midv500: Download and convert MIDV-500 annotations to . . .
Automatically download unzip MIDV-500 and MIDV-2019 datasets and convert the annotations into COCO instance segmentation format Then, dataset can be directly used in the training of Yolact, Detectron type of models
- MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
In this paper, we present a dataset MIDV-2020 which consists of 1000 video clips, 2000 scanned images, and 1000 photos of 1000 unique mock identity documents, each with unique text field values and unique artificially generated faces, with rich annotation
- (PDF) MIDV-2020: A Comprehensive Benchmark Dataset for Identity . . .
In this paper, we present a dataset MIDV-2020 which consists of 1000 video clips, 2000 scanned images, and 1000 photos of 1000 unique mock identity documents, each with unique text field values
- MIDV-500 Dataset - Papers With Code
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
- midv500 · PyPI
MIDV-500 consists of 500 video clips for 50 different identity document types including 17 ID cards, 14 passports, 13 driving licences and 6 other identity documents of different countries with ground truth which allows to perform research in a wide scope of various document analysis problems
- Dataset | DOCSAID
MIDV-2020 features 10 types of documents, including 1000 annotated video clips, 1000 scanned images, and 1000 photos of 1000 unique simulated identity documents, each with unique textual field values and uniquely generated artificial faces
- MIDV-500: A Dataset for Identity Documents Analysis and Recognition on . . .
In this paper we present a Mobile Iden-tity 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 This work is partially supported by Russian Foundation for Basic Re-search (projects 17-29-03170 and 17-29-03370)
- MIDV-2019 Dataset - Papers With Code
midv-2019 Introduced by Bulatov et al in MIDV-2019: Challenges of the modern mobile-based document OCR Contains video clips shot with modern high-resolution mobile cameras, with strong projective distortions and with low lighting conditions
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