Photos | Women's March Participants Gather in Doorway
Ashley Lilley and six other participants stand in a doorway against a clear blue sky during the 2017 Women's March in Washington D.C.
BLIP-2 Description:
a group of people standing in a doorwayChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
ashley lilley path walkway city urban furniture outdoors womens glove floor pre march sitting sky blue cafe coachella stop indoors winter bag accessories january outdoor performance jewelry pants road iii glasses silhouette building footwear grand architecture event corridor mark canon coat eos restaurant flooring overcoat handbag pedestrian terminal bus granc sporting entertainment necklace shoe
iso
400
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/3200s
camera make
Canon
camera model
lens model
date
2017-01-21T10:33:50-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.13%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.79%)
failure
(-0.95%)
harmonious color
(-0.93%)
immersiveness
(1.42%)
interaction
(1.00%)
interesting subject
(-49.37%)
intrusive object presence
(-9.89%)
lively color
(-8.41%)
low light
(94.38%)
noise
(-4.54%)
pleasant camera tilt
(-9.30%)
pleasant composition
(-69.43%)
pleasant lighting
(-61.08%)
pleasant pattern
(3.13%)
pleasant perspective
(-2.83%)
pleasant post processing
(-0.50%)
pleasant reflection
(-1.57%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.20%)
tastefully blurred
(1.03%)
well chosen subject
(-13.89%)
well framed subject
(-22.89%)
well timed shot
(2.35%)
all
(-8.32%)
* 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.