Arkindex Documentation
1.
Overview
1.1.
Data concepts
1.2.
Rest API
1.3.
Licensing
2.
Projects
2.1.
Element
2.2.
Type
2.3.
Path
2.4.
Metadata
2.5.
Classification
2.6.
Transcription
2.7.
Entity
2.8.
Exports
3.
Users
3.1.
Authentication
3.2.
Groups
3.3.
Rights management
4.
Workers
4.1.
Create a custom worker
4.2.
User worker runs
5.
Secrets
5.1.
Managing local secrets
5.2.
Managing secrets on Arkindex
5.3.
Using secrets in workers
6.
Training
6.1.
Datasets
6.2.
Create a dataset process
6.3.
Train a new model
7.
How to
7.1.
Upload documents
7.2.
Upload a large set of images
7.3.
Upload images from an S3 bucket
7.4.
Run a Machine Learning process
7.5.
Use workflow templates
7.6.
Import a Transkribus collection
7.7.
Annotate documents
7.8.
Export a project
8.
Deployment
8.1.
Architectures
8.2.
Hardware
8.3.
Setup with Docker
8.4.
Settings
8.5.
Ponos agent
9.
Development
9.1.
Arkindex setup for developers
9.2.
Contributing patches to Arkindex
9.3.
Updating your development instance
10.
Tutorial
10.1.
Overview
10.2.
Corpus import
10.3.
Creating ground truth for segmentation
10.4.
Training a segmentation Model
10.5.
Creating ground truth for transcription
10.6.
Training a transcription Model
10.7.
Running your models in production
10.8.
Export predicted results in PAGE XML format
10.9.
Lexicon
11.
Arkindex upgrades
11.1.
Arkindex 1.6.1
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How to
This section includes how-to guides to realize specific tasks using Arkindex:
Run a Machine Learning process
Use workflow templates
Upload documents
Massively upload images on the IIIF server
Import documents from Transkribus
Annotate an element