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:
flag rekognition_c recreation rodriguez ights nswethaing transportation borders org asian mel che guevara answ varch leisure amnistía tia uth no activities crowd network full grants protest jamil douglas sneha r sign answerla deepthi adventure g parade amm student vehicle performance rcha workers drive rights text richts stia rico banner fo struggle mmigrants immigrants art
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 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.