Home

nonportrait

Nonportrait is a label used in some digital image catalogs and computer vision datasets to denote images whose primary subject is not a portrait of a person. It encompasses landscapes, architecture, still life, wildlife, cityscapes, abstract art, action scenes, and other subjects where a person's likeness is not featured as the focal point. It is not a formal term in art history but a practical tagging convention in data organization.

It is distinguished from portrait by subject matter and composition, often lacking a clearly posed human subject,

Used in image-annotation schemas, search filters, and machine learning datasets to separate non-human or non-portrait content

Related terms include portrait, landscape photography, still life, street photography, image annotation, and dataset labeling.

and
by
the
absence
of
typical
portrait
features
such
as
head-and-shoulders
framing,
gaze
engagement,
or
intentional
posing.
It
may
include
images
with
people
in
the
frame
if
they
are
not
the
main
subject
or
are
in
a
non-portrait
context.
from
portraits.
This
helps
tasks
such
as
portrait
recognition,
anonymization,
or
bias
analysis
in
models
trained
on
mixed
imagery.
It
may
appear
in
metadata
fields
or
annotation
schemes.