Photos | Nighttime Commotion in the Urban Metropolis
David Dobkin captures the bustling intersection of city life, complete with a sea of people, busy cars, and vibrant street lights.
BLIP-2 Description:
a crowd of people standing on the street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture urban plant building footwear pedestrian outdoors transportation sidewalk hat david dobkin crowd tree road outdoor intersection traffic tarmac city bag shoe land street hdr glove airport metropolis path helmet nature bus sign car vehicle light accessories night downtown walking shoot lighting stop terminal handbag symbol
iso
800
metering mode
5
aperture
f/4
exposure bias
-2
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2007-01-29T03:28:46-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(24.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-1.12%)
harmonious color
(-0.49%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-72.22%)
intrusive object presence
(-3.20%)
lively color
(-31.03%)
low light
(99.17%)
noise
(-6.23%)
pleasant camera tilt
(-10.65%)
pleasant composition
(-81.59%)
pleasant lighting
(-65.87%)
pleasant pattern
(6.27%)
pleasant perspective
(-3.60%)
pleasant post processing
(3.14%)
pleasant reflection
(-3.81%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.07%)
tastefully blurred
(-16.09%)
well chosen subject
(2.57%)
well framed subject
(-64.70%)
well timed shot
(-4.50%)
all
(-11.36%)
* 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.