Photos | City Crowd
Yang Hee-jong and Junko Minagawa are among the many people walking through the city streets, surrounded by buildings, street signs, and containers. The blue sky and colorful banners add to the vibrant atmosphere of the urban scene.
BLIP-2 Description:
a crowd of people walking through a city streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
architecture headgear boy festiva necklace flag pants urban junko building crand footwear child pedestrian outdoors fine tent luggage hat crowd yang hee-jong outdoor sky container bag shoe balloon city art glove detour strong avenue glasses teen belt metropolis banner sign backpack jewelry accessories market bazaar minagawa de shop handbag shelter
iso
400
metering mode
5
aperture
f/4.5
exposure bias
0.5
focal length
17mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2006-10-07T15:37:35-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.76%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.46%)
harmonious color
(1.53%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-55.71%)
intrusive object presence
(-21.85%)
lively color
(-5.79%)
low light
(4.39%)
noise
(-2.86%)
pleasant camera tilt
(-10.26%)
pleasant composition
(-88.43%)
pleasant lighting
(-39.18%)
pleasant pattern
(6.27%)
pleasant perspective
(-0.76%)
pleasant post processing
(3.34%)
pleasant reflection
(-0.70%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.20%)
tastefully blurred
(-2.87%)
well chosen subject
(13.21%)
well framed subject
(-69.97%)
well timed shot
(-1.70%)
all
(-6.36%)
* 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.