Forensic expertise.
With the evidence attached.

01 / EXPERT ANNOTATION

Capture more than a feature label.

Connect a marked feature to its source position, classification, quality assessment and examiner notes. Retain the examination context in which the observation was made.

PROFAS / Features and correspondence Inspect the interface

02 / MULTIPLE EXAMINERS

Retain the different interpretations.

Collect separate examinations of the same material. Preserve agreement, disagreement and uncertainty, alongside the evaluations and independent reviews that follow.

PROFAS / Comparative examination Inspect the interface

03 / STRUCTURED DATASETS

Bring the record into a defined dataset.

Select observations, maps, measurements, assessments and reports for a stated research or training task. Keep their source relationships and review history connected.

PROFAS / Quality maps and regions Inspect the interface

04 / LANGUAGE & VISUAL CONTEXT

Connect forensic language with visual observations.

Audio-linked notes open a research direction around how examiners describe the detail they annotate. Original recordings, machine transcripts and reviewed wording provide distinct sources for investigating forensic terminology, uncertainty and image-linked explanation.

• Study terminology and transcript correction in context
• Explore image-and-language research under defined permissions
• Retain disagreement and qualification in the documented account

Structured exports carry accepted speech-source metadata. Any reuse of audio or transcripts for model training needs its own permissions, participant arrangements and dataset design.

05 / DATASET QUALITY

Make quality part of the design.

A dataset project can define contributor expertise, annotation guidance, review and reference procedures, source grouping and held-out evaluation. The aim is to build data whose meaning and intended use can be examined.

• Documented sources and label definitions
• Independent contributions and review
• Task-specific qualification and evaluation

06 / HUMAN–AI COLLABORATION

Develop assistance around the examiner.

Explore bounded assistance with recorded agent contributions, examiner responses and subsequent review. PROFAS provides a foundation for studying the complete human–software workflow.

PROFAS / The examination record Inspect the interface

07 / THE OPPORTUNITY

Build the data behind the next research question.

We are interested in collaborations around forensic annotation, model evaluation and examiner-centred assistance. Define the material, task and intended reuse together.