Photos | Illegal Immigration Since 1942

Xernona Clayton holds a sign at the May Day Rally in 2008, protesting illegal immigration since 1942, while wearing two hats and displaying her jewelry and handbag.
BLIP-2 Description:
a woman holding a sign that says illegal immigration since 1942Metadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
Dominant Color:
cap eyeglasses wear poster part tie immigration xernona anahuac mandrake susan b. anthony formal mexica accessories bag sign illegal ring equipment baseball race hispanic jewelry sun optical glasses mausolus footwear nican banner europeans www text illegals tom movement org since tlaca project handbag mayday_rally mayday rally rekognition_c headgear advertisement civilization nation hat clayton latino flag shoe
Detected Text
iso
400
metering mode
5
aperture
f/4
focal length
75mm
shutter speed
1/4000s
camera make
Canon
camera model
lens model
date
2008-05-01T11:27:01.010000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.40%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.15%)
harmonious color
(1.02%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-43.26%)
intrusive object presence
(-28.91%)
lively color
(13.66%)
low light
(1.34%)
noise
(-2.83%)
pleasant camera tilt
(-1.93%)
pleasant composition
(-56.10%)
pleasant lighting
(3.28%)
pleasant pattern
(1.76%)
pleasant perspective
(-1.13%)
pleasant post processing
(4.07%)
pleasant reflection
(-1.54%)
pleasant symmetry
(0.39%)
sharply focused subject
(6.96%)
tastefully blurred
(33.91%)
well chosen subject
(-30.00%)
well framed subject
(37.57%)
well timed shot
(4.91%)
all
(0.54%)
* 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.