Photos | Pre-Coachella Protest: A Crowd Stands Up Against Injustice
Travis Birt joins 35 others in the 2017 Pre-Coachella Protest, holding signs and raising their voices for their cause on a cloudy day in the city.
BLIP-2 Description:
a large group of people holding signs and protestingChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
architecture activities headgear urban leisure building baseball pre footwear rights transportation hat flowers outdoor handwriting text performance sky shoe city traffic nodapl cloudy document parade coachella metropolis banner sign vehicle light adventure broad office recreation meda honor protest human native crowd travis birt
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
date
2016-12-10T14:26:02.340000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(26.44%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.78%)
failure
(-1.05%)
harmonious color
(-3.67%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-39.01%)
intrusive object presence
(-6.57%)
lively color
(-0.59%)
low light
(26.76%)
noise
(-5.35%)
pleasant camera tilt
(-8.56%)
pleasant composition
(-74.71%)
pleasant lighting
(-41.19%)
pleasant pattern
(8.06%)
pleasant perspective
(-4.64%)
pleasant post processing
(-0.02%)
pleasant reflection
(0.98%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.56%)
tastefully blurred
(-17.38%)
well chosen subject
(-16.37%)
well framed subject
(-44.78%)
well timed shot
(5.29%)
all
(-6.85%)
* 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.