Photos | A Sea of Urbanites
Hayateumi Hidehito captured the bustling city streets in 2006, complete with a crowd of over 65 people, 3 buildings, and 21 pairs of shoes. The flags and banners indicate a possible parade or protest, adding to the vibrant atmosphere of the metropolis.
BLIP-2 Description:
a large group of peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture flag urban selante building optometri mayoreo elepha footwear tipp pedestrian area hat road outdoor tel oro text traffic city shoe bag land andrew street art 阅 dave balfour parade dr metre metropolis banner jewelry light accessories handbag importado robe hayateumi hidehito protest shop crowd pain
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
2006-05-01T11:27:31-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.79%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.17%)
harmonious color
(0.22%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-37.72%)
intrusive object presence
(-12.26%)
lively color
(-7.69%)
low light
(3.52%)
noise
(-1.54%)
pleasant camera tilt
(-11.41%)
pleasant composition
(-82.67%)
pleasant lighting
(-18.92%)
pleasant pattern
(8.74%)
pleasant perspective
(9.65%)
pleasant post processing
(5.64%)
pleasant reflection
(-0.35%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.15%)
tastefully blurred
(-9.46%)
well chosen subject
(13.60%)
well framed subject
(-63.87%)
well timed shot
(15.56%)
all
(-1.30%)
* 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.