Photos | The Majestic Cathedral of Mexico City

Sgt. Slaughter and Wilma Mankiller stand in awe before the stunning architecture of the Cathedral, surrounded by a bustling crowd of people and several automobiles on the road. The clock tower spire and blue sky stand tall above the fence, lampposts, and city buildings, creating a breathtaking scene in the heart of urban Mexico.
BLIP-2 Description:
the cathedral of mexico cityMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
architecture plaza flag urban arch building fence bell footwear mankiller square pedestrian area hat clock road outdoor spire sky city bag shoe land tower cloudy machine dome church metropolis construction cathedral backpack vehicle sgt. slaughter light wilma accessories handbag town automobile lamppost crowd monastery
iso
25
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/2208s
camera make
Apple
camera model
lens model
date
2018-10-25T15:20:48.269000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(58.45%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.10%)
harmonious color
(5.39%)
immersiveness
(1.54%)
interaction
(1.00%)
interesting subject
(30.40%)
intrusive object presence
(-5.05%)
lively color
(10.50%)
low light
(0.42%)
noise
(-0.37%)
pleasant camera tilt
(-5.99%)
pleasant composition
(-8.76%)
pleasant lighting
(28.66%)
pleasant pattern
(12.18%)
pleasant perspective
(44.26%)
pleasant post processing
(-3.23%)
pleasant reflection
(-1.25%)
pleasant symmetry
(2.15%)
sharply focused subject
(0.81%)
tastefully blurred
(1.51%)
well chosen subject
(3.49%)
well framed subject
(13.68%)
well timed shot
(1.18%)
all
(11.73%)
* 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.