Photos | A Sea of People in the City

Carlo Aquino walks amidst a huge crowd on a busy street in the metropolis on a sunny day.
BLIP-2 Description:
a large crowd of people walking down a streetMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture necklace flag neighborhood urban elephan building carlo aquino andre mayoreo window footwear pavn metro tipp 翌 wholesale pedestrian sidewalk transportation wristwatch anceleg area road outdoor oro intersection text performance traffic city bag shoe ml land street bro elefante cante negative dave lea parade glasses garantizado dr path metropolis banner sign car jewelry vehicle light accessories recreation downtown metrd spring importado town handbag walking se de shop crowd apple
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2006-05-01T11:26:44-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.88%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.48%)
failure
(-0.22%)
harmonious color
(-1.52%)
immersiveness
(0.85%)
interaction
(1.00%)
interesting subject
(-77.49%)
intrusive object presence
(-5.49%)
lively color
(-11.15%)
low light
(8.54%)
noise
(-1.25%)
pleasant camera tilt
(-11.10%)
pleasant composition
(-87.99%)
pleasant lighting
(-34.38%)
pleasant pattern
(5.20%)
pleasant perspective
(4.31%)
pleasant post processing
(2.56%)
pleasant reflection
(-2.02%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.05%)
tastefully blurred
(-9.55%)
well chosen subject
(18.71%)
well framed subject
(-73.93%)
well timed shot
(1.46%)
all
(-5.97%)
* 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.