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 streetMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
path tel city urban glove dave intersection marchand lamp construction los lamppost pann downtown shobha pandit bag wholesale sidewalk accessories window area traffic outdoor street jewelry road building footwear llons crowd architecture metro hoy shop parade gaf light metropolis square votam angeles pedestrian handbag walking sllly lease land town tipp hat flag neighborhood necklace shoe
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.