Photos | Walking in the Urban Metropolis
Agostino Vallini and John H. Sununu among a group of 10 pedestrians walking down a busy street in San Francisco's Chinatown.
BLIP-2 Description:
a group of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture neighborhood urban john building overcoat cable footwear pedestrian lone transportation sidewalk eecue crosswalk road outdoor traffic light sununu intersection crossing sky tarmac city shoe bag land street agostino vallini machine coat glasses bicycle metropolis path wheel sign car vehicle zebra light suit chinaown skyscraper accessories high office heel walking wa automobile handbag symbol enter
iso
100
metering mode
5
aperture
f/2.8
focal length
40mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2007-01-16T12:32:09-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.06%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.90%)
failure
(-0.51%)
harmonious color
(1.25%)
immersiveness
(0.93%)
interaction
(1.00%)
interesting subject
(-14.93%)
intrusive object presence
(-6.98%)
lively color
(-2.60%)
low light
(31.52%)
noise
(-5.03%)
pleasant camera tilt
(-3.11%)
pleasant composition
(-57.37%)
pleasant lighting
(-38.11%)
pleasant pattern
(11.33%)
pleasant perspective
(15.78%)
pleasant post processing
(-2.42%)
pleasant reflection
(-3.44%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.32%)
tastefully blurred
(-2.24%)
well chosen subject
(-6.21%)
well framed subject
(-40.87%)
well timed shot
(22.89%)
all
(-0.88%)
* 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.