Photos | USC Tour Group Poses in Plywood-Filled Room
Mary, Sara, and another participant stand amongst shelves filled with plywood while showing off their formal wear.
BLIP-2 Description:
three people standing in a room with a table and shelvesChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
room furniture dress desk long decor floor wear blouse home production linen formal sciences thermal sleeve sign shirt accessories belt indoors jewelry advanced shelf chair pants mary sara hospital glasses building architecture necklace integrated technologies institute classroom table usc tour coat restaurant inteorated flooring school information mangoe clinic management plywood wood
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
42mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2008-02-21T11:47:06-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.06%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.55%)
failure
(-0.42%)
harmonious color
(0.19%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(38.96%)
intrusive object presence
(-11.62%)
lively color
(-28.83%)
low light
(46.80%)
noise
(-2.49%)
pleasant camera tilt
(-1.90%)
pleasant composition
(-48.90%)
pleasant lighting
(-36.52%)
pleasant pattern
(1.34%)
pleasant perspective
(7.61%)
pleasant post processing
(-2.70%)
pleasant reflection
(-1.71%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.66%)
tastefully blurred
(-50.98%)
well chosen subject
(-59.86%)
well framed subject
(50.10%)
well timed shot
(13.66%)
all
(-5.56%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.