Photos | City Intersection Hustle and Bustle
Brandon Wardell and a crowd of 21 people maneuver through traffic and sidewalks while waiting for the light to change on a bustling street corner in the metropolis.
BLIP-2 Description:
a group of people standing on a street cornerChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
path machine heel city urban outdoors dress skirt hill wear intersection br vehicle jeans car symbol tie furnish transportation storefront high wristwatch st formal stop bag accessories sidewalk sign window sandal traffic light outdoor street jewelry pants road glasses building footwear crowd automobile trade cro light metropolis purse shorts brandon wardell pedestrian handbag bus land advertisement rade center hat depo neighborhood necklace shoe
iso
400
metering mode
5
aperture
f/6.3
focal length
73mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2005-08-03T18:37:56-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.78%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.27%)
harmonious color
(5.83%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(28.61%)
intrusive object presence
(-35.89%)
lively color
(1.16%)
low light
(2.39%)
noise
(-0.98%)
pleasant camera tilt
(-6.09%)
pleasant composition
(-51.07%)
pleasant lighting
(-1.27%)
pleasant pattern
(7.47%)
pleasant perspective
(1.21%)
pleasant post processing
(8.68%)
pleasant reflection
(-3.51%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.56%)
tastefully blurred
(3.92%)
well chosen subject
(-26.07%)
well framed subject
(-27.71%)
well timed shot
(13.11%)
all
(1.87%)
* 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.