Photos | Unity in Diversity
A large group of people, including Sneha Deepthi, Jamil Douglas, Rico Rodriguez and Che Guevara, march together holding American and Mexican flags at the 2006 student protest. Demonstrating solidarity and support for both nations, the crowd fills the streets with signs, banners and patriotic fervor.
BLIP-2 Description:
a large group of people holding american and mexican flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
vehicle leisure tia rcha richts workers rights sign drive asian mmigrants jamil douglas student amm transportation adventure deepthi struggle answerla crowd uth performance immigrants rico protest flag org grants stia nswethaing activities recreation ights no fo answ sneha amnistía parade art r mel che guevara full rekognition_c rodriguez text banner g borders varch network
Detected Text
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/3200s
camera make
Canon
camera model
lens model
overall
(47.51%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.45%)
failure
(-0.27%)
harmonious color
(7.15%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-12.34%)
intrusive object presence
(-29.57%)
lively color
(26.66%)
low light
(25.42%)
noise
(-1.29%)
pleasant camera tilt
(-1.55%)
pleasant composition
(-56.40%)
pleasant lighting
(13.24%)
pleasant pattern
(19.14%)
pleasant perspective
(15.76%)
pleasant post processing
(6.08%)
pleasant reflection
(2.11%)
pleasant symmetry
(1.20%)
sharply focused subject
(5.44%)
tastefully blurred
(43.48%)
well chosen subject
(-2.53%)
well framed subject
(-15.30%)
well timed shot
(10.77%)
all
(6.87%)
* 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 with AI (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.