Photos | The Massive Metropolis Crowd
Natasha Jonas, Kaleena Mosqueda-Lewis, Smriti Mehra, Rasanara Parwin, Bhagyashree Thipsay, and Wafa Sultan join the bustling urban crowd gathered under billboards and bright lights in the heart of the city.
BLIP-2 Description:
a large crowd of peopleMetadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
advertisement urban flag casai lewis anton rasanara th footwear bhagyashree thipsay natasha jonas da st way xing pedestrian injustice city angel billboards jewelry protest shop werke building smriti mehra wa sign criminals shoe neighborhood mosqueda wafa eanemotxe fight g area los parade credit terms metropolis ped 国 road parwin symbol architecture workers text light angeles homel traffic banner sultan pawn crowd kaleena one
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
overall
(34.59%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-0.24%)
harmonious color
(-0.74%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-52.05%)
intrusive object presence
(-4.61%)
lively color
(7.57%)
low light
(0.66%)
noise
(-1.32%)
pleasant camera tilt
(-8.44%)
pleasant composition
(-73.58%)
pleasant lighting
(-1.61%)
pleasant pattern
(9.16%)
pleasant perspective
(4.67%)
pleasant post processing
(3.78%)
pleasant reflection
(-3.24%)
pleasant symmetry
(0.95%)
sharply focused subject
(0.44%)
tastefully blurred
(-6.97%)
well chosen subject
(12.79%)
well framed subject
(-59.33%)
well timed shot
(-2.19%)
all
(-0.90%)
* 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.