Photos | Pre-Coachella Protest
Luiz Filipe Coelho and a group of people hold signs and raise their voices for a cause they believe in, under the bright California sun at The Broad in Los Angeles.
BLIP-2 Description:
a group of people holding signs and holding signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
activities headgear necklace ming flag profits rock win felipe leisure pre footwear standing hat wristwatch transportation offroad hopi liff flowers outdoor text performance sky shoe bag traffic sun parade glasses race coachella banner sign puebl stands jewelry later vehicle light car sport accessories adventure luiz filipe coelho recreation resist mater handbag protest dest crowd dap
Detected Text
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
date
2016-12-10T14:25:40-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.38%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-0.32%)
harmonious color
(-2.22%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-17.24%)
intrusive object presence
(-6.57%)
lively color
(7.29%)
low light
(12.60%)
noise
(-3.54%)
pleasant camera tilt
(-7.32%)
pleasant composition
(-71.83%)
pleasant lighting
(-32.06%)
pleasant pattern
(5.91%)
pleasant perspective
(-5.04%)
pleasant post processing
(2.19%)
pleasant reflection
(2.66%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.59%)
tastefully blurred
(-1.41%)
well chosen subject
(-33.72%)
well framed subject
(-42.65%)
well timed shot
(4.15%)
all
(-5.09%)
* 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.