Download and convert MIDV-500 annotations to COCO instance segmentation format
Project description
Download and convert MIDV-500 dataset into COCO instance segmentation format
Automatically download/unzip MIDV-500 dataset and convert the annotations into COCO instance segmentation format.
Then, dataset can be directly used in the training of Yolact, Detectron type of models.
Package maintainer: Fatih Cagatay Akyon
MIDV-500 Dataset
MIDV-500 consists of 500 video clips for 50 different identity document types with ground truth which allows to perform research in a wide scope of various document analysis problems.
You can find more detail on: MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream
Getting started
Installation
pip install midv500
Usage
# import package
import midv500
# set directory for dataset to be downloaded
dataset_dir = 'data/midv500/'
# download and unzip midv500 dataset
midv500.download_dataset(dataset_dir)
# set directory for coco annotations to be saved
export_dir = 'data/midv500/'
# convert midv500 annotations to coco format
midv500.convert_to_coco(dataset_dir, export_dir)
Project details
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