Photos | Women's March in Los Angeles

Madusa, Hiroshi Suzuki, Larry Carlton, Yulia Merkulova, and thousands of others join together in the streets of Los Angeles to march for women's rights and equality. The blue skies and towering buildings of the metropolis serve as the backdrop for this historic event.
BLIP-2 Description:
a crowd of people walking down a streetMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
civic activities suzuki urban plant building pre leisure hiroshi footwear pedestrian yulia transportation hat tree outdoor sky city shoe bag merkulova womens sun little tokyo parade glasses coachella audience metropolis bus car vehicle backpack accessories adventure handbag center larry carlton palm madusa protest concert crowd
iso
400
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
16mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2017-01-21T10:40:48-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(24.32%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.78%)
harmonious color
(-1.46%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(-62.60%)
intrusive object presence
(-24.88%)
lively color
(-6.37%)
low light
(26.98%)
noise
(-4.13%)
pleasant camera tilt
(-10.85%)
pleasant composition
(-91.94%)
pleasant lighting
(-49.07%)
pleasant pattern
(3.93%)
pleasant perspective
(-8.57%)
pleasant post processing
(-1.82%)
pleasant reflection
(-0.76%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.20%)
tastefully blurred
(-15.04%)
well chosen subject
(21.88%)
well framed subject
(-81.30%)
well timed shot
(5.39%)
all
(-8.39%)
* 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.