Photos | Protesters in front of Los Angeles skyscraper
Michelle Farrah Huang and Lloyd Blankfein join a crowd of 25 people at a protest in Los Angeles, CA on January 21, 2017. The group gathers beneath the shade of palm trees, standing in front of a towering urban Metropolis building.
BLIP-2 Description:
a crowd of people in front of a building with palm treesMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban blankfein eefkk glasses child transportation michelle farrah huang palm outdoor one girl leisure jewelry district sky no activities offroad tree city protest document lloyd building skyscraper sign parenthood planned adventure office others plant parade area metropolis wristwatch vehicle architecture blue hat text handwriting banner audience accessories headgear crowd free
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/1709s
camera make
Apple
camera model
lens model
overall
(44.19%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.78%)
failure
(-0.44%)
harmonious color
(3.19%)
immersiveness
(1.25%)
interaction
(1.00%)
interesting subject
(-17.77%)
intrusive object presence
(-10.45%)
lively color
(23.94%)
low light
(5.52%)
noise
(-1.49%)
pleasant camera tilt
(-8.65%)
pleasant composition
(-56.40%)
pleasant lighting
(-6.62%)
pleasant pattern
(16.67%)
pleasant perspective
(5.75%)
pleasant post processing
(1.44%)
pleasant reflection
(3.65%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.56%)
tastefully blurred
(-5.25%)
well chosen subject
(-18.52%)
well framed subject
(-41.92%)
well timed shot
(-4.51%)
all
(1.24%)
* 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.