Photos | Marching through the Metropolis
Eden Robinson and a crowd of 46 people make their way through the bustling urban streets of 2006.
BLIP-2 Description:
a large group of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
pndrd architecture robert neighborhood urban flag building mayoreo window shopiro footwear eos elephant metro tipp diamond wholesale optometrists pedestrian transportation hat sidewalk area road outdoor tel oro intersection text traffic city bag shoe pawn land andrew street dave balfour parade disson bicycle dr metropolis path pun banner sign jewelry vehicle light marching accessories armsma downtown handbag spring walking town canon de shop crowd shapiro eden robinson symbol
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
2006-05-01T11:26:58-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.48%)
failure
(-0.17%)
harmonious color
(-1.63%)
immersiveness
(1.51%)
interaction
(1.00%)
interesting subject
(-44.12%)
intrusive object presence
(-9.28%)
lively color
(-12.55%)
low light
(1.34%)
noise
(-1.37%)
pleasant camera tilt
(-10.36%)
pleasant composition
(-84.47%)
pleasant lighting
(-36.30%)
pleasant pattern
(7.52%)
pleasant perspective
(9.17%)
pleasant post processing
(3.57%)
pleasant reflection
(0.55%)
pleasant symmetry
(1.12%)
sharply focused subject
(0.15%)
tastefully blurred
(-3.83%)
well chosen subject
(18.82%)
well framed subject
(-61.28%)
well timed shot
(13.20%)
all
(-3.40%)
* 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.