Photos | The Majestic Cathedral of Mexico City
A stunning sight of the grand cathedral amidst a bustling city, captured on a cloudy day with a hint of blue sky, cars and bicycles rushing past, people walking on the sidewalk and lampposts lighting up the path. 13 handbags and one backpack, 12 shoes and 2 hats can be spotted as fashionable accessories in this metropolitan setting. The tower and spire of the building stand tall as iconic landmarks, while a traffic light and clock tower add to the architectural charm.
BLIP-2 Description:
the cathedral of mexico cityChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
architecture plaza urban building fence footwear square area sidewalk hat clock road outdoor spire intersection sky landmark city bag shoe traffic land tower street machine bicycle metropolis path church construction cathedral backpack vehicle sport light accessories cycling recreation handbag town lamppost cloudy
iso
25
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/2160s
camera make
Apple
camera model
lens model
date
2018-10-25T15:20:46.379000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(56.59%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.69%)
failure
(-0.05%)
harmonious color
(1.64%)
immersiveness
(1.32%)
interaction
(1.00%)
interesting subject
(35.86%)
intrusive object presence
(-11.43%)
lively color
(1.02%)
low light
(0.15%)
noise
(-0.24%)
pleasant camera tilt
(-7.86%)
pleasant composition
(-35.99%)
pleasant lighting
(27.37%)
pleasant pattern
(10.77%)
pleasant perspective
(38.26%)
pleasant post processing
(-0.54%)
pleasant reflection
(2.01%)
pleasant symmetry
(2.42%)
sharply focused subject
(0.54%)
tastefully blurred
(0.59%)
well chosen subject
(0.72%)
well framed subject
(9.07%)
well timed shot
(2.51%)
all
(8.69%)
* 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.