Photos | Women's March in Los Angeles
A large crowd including German swimmer Franziska van Almsick marches through Grand Park in Los Angeles, California for the Women's March on January 21, 2017. The cloudy sky and palm trees in the background showcase the city's urban landscape as people peacefully exercise their right to protest.
BLIP-2 Description:
a large crowd of people standing on a street cornerChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
urban wheel backpack street womens civic glasses child transportation palm outdoor footwear bag motorcycle sky coachella little tokyo franziska van almsick tree pedestrian city bicycle glove shoe handbag intersection tarmac cloudy boy plant parade metropolis center road vehicle machine blue hat pre light traffic accessories headgear walking crowd land
iso
400
metering mode
5
aperture
f/4
focal length
22mm
shutter speed
1/4000s
camera make
Canon
camera model
lens model
overall
(35.96%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.22%)
harmonious color
(3.03%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(-37.65%)
intrusive object presence
(-44.53%)
lively color
(-1.09%)
low light
(1.98%)
noise
(-0.83%)
pleasant camera tilt
(-8.92%)
pleasant composition
(-89.60%)
pleasant lighting
(-19.89%)
pleasant pattern
(4.98%)
pleasant perspective
(5.86%)
pleasant post processing
(-0.67%)
pleasant reflection
(3.28%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.22%)
tastefully blurred
(-11.77%)
well chosen subject
(18.95%)
well framed subject
(-62.21%)
well timed shot
(11.15%)
all
(-2.29%)
* 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.