Photos | Students protest at US Embassy in Mexico City

Mexican students gather outside the US Embassy in Mexico City in 2006, wearing headgear and hoodies and holding signs to protest against US immigration policies. Priscilla Lopes-Schliep can be seen in the crowd.
BLIP-2 Description:
mexican students protest in front of the us embassy in mexico cityMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
along protest sisters march recreation hunting endorse tie mistinite legislation stop priscilla lopes-schliep hoodie brothers accessories bag sign mexico migrant racist performance anti sunglasses border politicians vigilantes footwear crowd unity parade walkout laboring bride handbag school pamily headgear signst maicant flag ur wedding shoe
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
22mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2006-03-27T11:53:05-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.72%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-0.15%)
harmonious color
(1.75%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(0.53%)
intrusive object presence
(-12.62%)
lively color
(15.42%)
low light
(0.34%)
noise
(-2.05%)
pleasant camera tilt
(-5.30%)
pleasant composition
(-68.21%)
pleasant lighting
(-6.01%)
pleasant pattern
(2.78%)
pleasant perspective
(-1.20%)
pleasant post processing
(4.65%)
pleasant reflection
(-6.05%)
pleasant symmetry
(0.46%)
sharply focused subject
(1.34%)
tastefully blurred
(-6.15%)
well chosen subject
(-36.47%)
well framed subject
(-22.16%)
well timed shot
(9.61%)
all
(-1.24%)
* 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.