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:
us freedom ammo g page serving earth urban loo pub baseball gave majority fighting des reality baby cap history hat ignorance crowd birth pete ace trust michael z lie text existence army document sun club bound gives self audience long life kill troy freedoms harder pe electronics night headphones exprottat lighting informed vigil include printed remember good nurture cinema
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.