Photos | Lost in the Crowd

A man desperately searches for direction in a sea of faces and electronic distractions, clutching a piece of paper.
BLIP-2 Description:
a man in a crowd of people with a piece of paperMetadata
Capture date:
Original Dimensions:
2592w x 1944h - (download 4k)
Usage
Dominant Color:
lighting trust nurture existence cap page us urban bound long loo birth baby self troy exprottat informed michael z cinema kill gives serving electronics baseball sun pub lie army night g crowd freedom club harder ace good fighting gave history ammo pe audience text reality pete vigil life earth des freedoms include remember hat headphones majority ignorance document printed
Detected Text
ace all ammo an and are army as become birth bound by des earth existence exprottat fighting for freedom freedoms gave gives good harder has history ignorance include informed is it it's kill lie life long loo majority nurture only our own pe reality remember self serving sun than that the their there to troy trust us we which whose will your
flash fired
true
iso
160
metering mode
5
aperture
f/3.5
focal length
7mm
shutter speed
1/40s
camera make
SONY
camera model
date
2004-12-03T01:49:47-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(3.67%)
curation
(67.83%)
highlight visibility
(2.45%)
behavioral
(70.54%)
failure
(-1.83%)
harmonious color
(0.99%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-71.29%)
intrusive object presence
(-5.57%)
lively color
(0.57%)
low light
(90.92%)
noise
(-4.71%)
pleasant camera tilt
(-11.39%)
pleasant composition
(-67.97%)
pleasant lighting
(-62.35%)
pleasant pattern
(3.49%)
pleasant perspective
(-17.14%)
pleasant post processing
(4.79%)
pleasant reflection
(0.38%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.20%)
tastefully blurred
(-26.37%)
well chosen subject
(-23.05%)
well framed subject
(-42.29%)
well timed shot
(-14.06%)
all
(-12.52%)
* 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.