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Helpful Places

Government of Canada – DTPR AI Register

AI-Powered Artistic Style Transfer for Images

Arts & Culture · Research & Development

What it collects

About a place
Anonymized data
  • Photographs or images provided as the content source for style transfer. These may depict scenes, locations, or objects and are processed during development testing.
Operational data
Anonymized data
  • Artwork images (paintings, illustrations, or other visual works) used as style references. These are the artistic works whose styles are transferred onto the content images.
Run by
National Film Board (NFB)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

Arts & CultureResearch & Development

This system uses neural networks to apply the visual style of artworks to photographs and images. It is in the development phase and is used internally by National Film Board employees to explore creative applications. The system processes images and does not appear to interact with members of the general public.

What it collects and what happens to it

Data taken in

About a place
Anonymized data
  • Photographs or images provided as the content source for style transfer. These may depict scenes, locations, or objects and are processed during development testing.
Operational data
Anonymized data
  • Artwork images (paintings, illustrations, or other visual works) used as style references. These are the artistic works whose styles are transferred onto the content images.

Processing

Computer Vision
  • Convolutional neural networks (open source) interpret image content and extract style representations from artwork images to enable style transfer.

What it does

Sensing (Perceptive AI)
Human decides
  • The system reads image pixel data as input, extracting content and style representations that the neural network then uses to produce a stylized output image.
Deciding (Analytical AI)
Human decides
  • Neural networks analyze and classify the style features of artwork images, then apply those style parameters to a target image to produce a blended output.

Outputs

Generated content
Anonymized data
  • Stylized images produced by applying the visual style of an artwork to a content image. The output is a new image that blends the content of one image with the artistic style of another.

Run by

National Film Board (NFB)
  • Federal cultural institution responsible for developing and deploying this style transfer AI system during its development phase.

Government of Canada AI Register — Style Transfer (2526-NFB-ONF-005)

Built by

Not stated by the Helpful Places.

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs and test results are available to National Film Board employees using the system during development. No indication of public or third-party access.

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

  • Right to Algorithmic TransparencyThe system is listed in the Government of Canada AI Register, which provides transparency about its purpose, development status, and use by National Film Board employees. Members of the public may consult the register at the source URL.

Risks and safeguards

No risks or safeguards have been published for this system yet.