Photos | Women's March in Los Angeles
Maddie Rooney and Shinya Miyamoto walk down a busy sidewalk in Los Angeles while holding signs during the Women's March in 2017. The blue sky and urban architecture provide the backdrop for the protesters advocating for women's rights.
BLIP-2 Description:
a group of people walking down a sidewalk holding signsMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
poster car long bag architecture urban womens vehicle building path street coat sign walking plant walkway city pedestrian pre maddie rooney coachella glasses document road office glove slate traffic miyamoto blue handbag boy beginning shoe teen transportation district shinya text advertisement shorts outdoor land sidewalk shrub sky handwriting metropolis footwear sleeve jewelry accessories light overcoat tarmac
iso
400
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
overall
(36.08%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.82%)
failure
(-0.24%)
harmonious color
(1.02%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(-38.55%)
intrusive object presence
(-10.28%)
lively color
(-11.69%)
low light
(54.93%)
noise
(-2.54%)
pleasant camera tilt
(-8.34%)
pleasant composition
(-66.11%)
pleasant lighting
(-38.55%)
pleasant pattern
(12.84%)
pleasant perspective
(3.21%)
pleasant post processing
(-4.13%)
pleasant reflection
(1.35%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.39%)
tastefully blurred
(-10.64%)
well chosen subject
(-14.31%)
well framed subject
(-19.89%)
well timed shot
(8.13%)
all
(-4.63%)
* 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.