Photos | Walking through the Metropolis
Shobha Pandit and a crowd of 62 people make their way down a busy street in the heart of the city, surrounded by towering buildings and bustling traffic.
BLIP-2 Description:
a group of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
architecture necklace flag neighborhood urban building shobha pandit window footwear metro tipp votam wholesale pedestrian sidewalk hat lamp square hoy area gaf sllly road outdoor tel intersection traffic city pann bag shoe land street glove dave parade angeles lease path metropolis construction marchand los jewelry light accessories downtown handbag walking town lamppost llons shop crowd
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
2006-05-01T11:25:03-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.30%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.22%)
harmonious color
(-0.90%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(-49.66%)
intrusive object presence
(-9.20%)
lively color
(-2.91%)
low light
(6.59%)
noise
(-2.05%)
pleasant camera tilt
(-11.12%)
pleasant composition
(-80.57%)
pleasant lighting
(-25.20%)
pleasant pattern
(7.62%)
pleasant perspective
(6.90%)
pleasant post processing
(3.13%)
pleasant reflection
(-1.40%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.10%)
tastefully blurred
(-7.60%)
well chosen subject
(17.88%)
well framed subject
(-60.55%)
well timed shot
(-0.74%)
all
(-3.28%)
* 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.