Photos | Metropolis Motorcycle Madness
A crowd of 25 people, including Smriti Mehra, ride their machines through the bustling streets of Austin at night, creating a stunning urban spectacle.
BLIP-2 Description:
a crowd of people on motorcycles in a city streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
scooter jeans pants neighborhood urban building pub window footwear pedestrian outdoors transportation sidewalk hat area road outdoor intersection sky tarmac city shoe land street austin machine storefront shorts bicycle metropolis path life nature wheel hujfalen smriti mehra vehicle motor scooter night town lighting crowd motorcycle
Detected Text
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-06-13T22:46:11.620000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.13%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-3.86%)
harmonious color
(0.38%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-56.79%)
intrusive object presence
(-3.78%)
lively color
(-24.71%)
low light
(99.66%)
noise
(-8.13%)
pleasant camera tilt
(-11.41%)
pleasant composition
(-82.57%)
pleasant lighting
(-69.48%)
pleasant pattern
(4.22%)
pleasant perspective
(-6.24%)
pleasant post processing
(3.61%)
pleasant reflection
(1.01%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.07%)
tastefully blurred
(-57.28%)
well chosen subject
(-1.04%)
well framed subject
(-59.81%)
well timed shot
(-3.71%)
all
(-11.81%)
* 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.