Photos | Group of People in Front of Store

Emily Kuroda and six others stand outside a clothing store featuring a poster advertisement for a sword accessory while a man with 11 shoes walks by.
BLIP-2 Description:
a group of people standing outside a storeMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
inside free kuroda ausland quality open floor weapon archival raw poster part alti lamp canv materials stuff indoors accessories wood sign artist's outdoor great architectural win pants srpc glasses building opening grand sal show footwear savings shop interior sword coat primed sponsor flooring overcoat emily convas vandalism rekognition_c change supplies advertisement design art drawing enter official shoe
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-11-13T18:28:43-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(41.26%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.32%)
harmonious color
(0.31%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-23.25%)
intrusive object presence
(-5.15%)
lively color
(-23.22%)
low light
(73.88%)
noise
(-3.54%)
pleasant camera tilt
(-9.49%)
pleasant composition
(-53.86%)
pleasant lighting
(-41.67%)
pleasant pattern
(6.40%)
pleasant perspective
(1.21%)
pleasant post processing
(4.02%)
pleasant reflection
(0.67%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.37%)
tastefully blurred
(-10.90%)
well chosen subject
(-19.21%)
well framed subject
(-21.20%)
well timed shot
(-5.54%)
all
(-5.42%)
* 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.