Photos | Metropolis March
Jaya, Tiger, Sandhya, and Vani join a sea of 44 people in a lively walk through bustling streets of the city, passing billboards and banners on their way.
BLIP-2 Description:
a large group of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
kapoor singh flag neighborhood urban jaya sharma bar footwear pedestrian way area hat gainst road outdoor drea one text angi traffic city da shoe pawn land vie street glasses angeles metropolis antonio billboards sign banner los jewelry light accessories vani tiger fight st snack wa ali 䟴 sandhya agarwal casa ands advertisement de dinero shop crowd lo symbol
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2006-05-01T11:29:47-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-0.51%)
harmonious color
(-2.08%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-63.62%)
intrusive object presence
(-5.86%)
lively color
(6.98%)
low light
(0.88%)
noise
(-1.20%)
pleasant camera tilt
(-12.59%)
pleasant composition
(-87.11%)
pleasant lighting
(-20.89%)
pleasant pattern
(4.74%)
pleasant perspective
(-3.38%)
pleasant post processing
(7.73%)
pleasant reflection
(-2.36%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.12%)
tastefully blurred
(-50.98%)
well chosen subject
(14.50%)
well framed subject
(-69.63%)
well timed shot
(-7.92%)
all
(-5.44%)
* 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.