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 your own worker
4.2.
Running your worker locally
4.3.
Maintaining a worker
4.4.
GitLab Continuous Integration for workers
4.5.
YAML configuration
4.6.
Base Worker template structure
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
🔎
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
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