Photos | Shopping with Friends

A group of eight people dressed up in formal wear standing in front of a store, admiring the signage and flooring. Two men and three adults, including one woman in a coat, two males wearing suits, and four glasses-wearing individuals are visible. The group was spotted at an SRPC show in 2008, featuring clothing and accessories, showcased through the poster and advertisement displayed on the sliding glass doors.
BLIP-2 Description:
a group of people standing in front of a storeMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture materials sa door formal stutf necklace pants change win sponsor savings building overcoat footwear lamp inside grand tree flooring wood shoe ausland art srpc coat glasses indoors poster airport supplies raw wear sign walte jewelry drawing suit accessories quality sliding architectural opening official part sword dress show floor advertisement anists arim archival hospital weapon great enter
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-11-13T18:28:46-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.67%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.46%)
harmonious color
(0.12%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-0.41%)
intrusive object presence
(-8.08%)
lively color
(-30.81%)
low light
(77.39%)
noise
(-2.49%)
pleasant camera tilt
(-9.33%)
pleasant composition
(-49.95%)
pleasant lighting
(-37.99%)
pleasant pattern
(5.35%)
pleasant perspective
(-0.13%)
pleasant post processing
(3.35%)
pleasant reflection
(1.93%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.46%)
tastefully blurred
(-22.14%)
well chosen subject
(-26.05%)
well framed subject
(-2.49%)
well timed shot
(3.86%)
all
(-4.90%)
* 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.