Photos | Protest Rally Sign Holder
Shane Victorino stood among a crowd at the 2008 Mayday rally, holding a sign in protest.
BLIP-2 Description:
a man holding a sign in front of a crowd of peopleChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
bracelet traffic les jeans activities pants dividing flag urban leisure der footwear des cap divisiónde luggage hat road outdoor jadas la mayday_rally shane victorino text baseball cap performance container sky da families son land bag street art shoe city glove inmigrantes parade shirt glasses poster derechos metropolis sunglasses banner sign rally jewelry light famillas accessories adventure las recreation handbag mayday protest advertisement de crowd
Detected Text
iso
100
metering mode
5
aperture
f/7.1
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-05-01T11:45:44-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.08%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.20%)
harmonious color
(0.66%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-28.61%)
intrusive object presence
(-8.98%)
lively color
(6.85%)
low light
(0.83%)
noise
(-1.66%)
pleasant camera tilt
(-5.36%)
pleasant composition
(-76.71%)
pleasant lighting
(-31.47%)
pleasant pattern
(5.86%)
pleasant perspective
(-2.74%)
pleasant post processing
(2.76%)
pleasant reflection
(0.96%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.37%)
tastefully blurred
(1.10%)
well chosen subject
(-28.86%)
well framed subject
(-42.38%)
well timed shot
(4.30%)
all
(-4.87%)
* 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.