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Type: Organization
Type: Organization
Instructions and pretrained models for using Annif (https://annif.org/) software for automatic subject indexing as local service.
User interface for Arkkiivi web application
API for a machine learning model trained to detect folded or torn corners and edges from scanned document images.
This API use Annif as local server, NER component is included. It also includes Tesseract and uses Apache-tika software for language detection. It also has a limited multilingual support.
A model for segmenting scanned document images.
Training code for a deep learning model that detects empty document from images.
API for detecting empty document images
API that combines empty page, post-it, folded corner and writing type detection models.
API for performing named entity recognition from text input in Finnish.
API for a machine learning model trained to detect post-it/sticky notes from scanned document images.
Code for segmenting table structures and detecting text content in document images.
Code for training Finnish named entity recognition (NER) model based on BERT.
Code that can be used for training a neural network model to classify input documents into distinct classes.
Code that can be used for training a neural network model to detect faults (sticky notes, folded corners etc.) in input documents.
Training code for a deep learning model that detects document writing type from images.
Repo for writingtype classifier API
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