Photos | The Metropolis March
Liu Xiangrong and William Xalco lead a crowd of 49 people through the busy streets of the city. The group walks past towering buildings and colorful banners, creating a lively parade.
BLIP-2 Description:
a large group of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture menudeo jeans pants flag urban ropa building paracaballeros mayoreo footwear para pedestrian hat al surtido sidewalk road outdoor la oro publico tran bie text city todo shoe land street william xalco vaqueros par perfumeria blue relojeria parade jean metropolis vaquera path familia en vestir banner dickie gran plata tiende casual liu xiangrong trajes store walking toda protest advertisement de crowd ninos
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2006-05-01T11:23:37-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.13%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.46%)
harmonious color
(-1.76%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-70.75%)
intrusive object presence
(-10.35%)
lively color
(-5.72%)
low light
(13.28%)
noise
(-2.17%)
pleasant camera tilt
(-11.28%)
pleasant composition
(-91.89%)
pleasant lighting
(-40.84%)
pleasant pattern
(4.98%)
pleasant perspective
(-4.57%)
pleasant post processing
(3.15%)
pleasant reflection
(0.43%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.12%)
tastefully blurred
(-15.93%)
well chosen subject
(13.67%)
well framed subject
(-80.03%)
well timed shot
(0.01%)
all
(-7.71%)
* 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.