Photos | A Feast at Mercado de Coyoacan
Jaya Sharma enjoys a delicious lunch at an indoor cafeteria filled with people and a variety of food and beverages at the Mercado de Coyoacan in Mexico City.
BLIP-2 Description:
a large table with food and drinks on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture beer wine cafeteria soda tableware urban bowl pub meal del carmén food portrait building footwear jaya sharma brunch beverage dish buffet plywood hat restaurant furniture utensil court container shoe wood alcohol disposable indoors lunch dining interior bread table room drink charro market cafe fast plate photography cup coke deli shop bottle
Detected Text
iso
500
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
19.35
longitude
-99.16
shutter speed
1/60s
camera make
Apple
camera model
date
2020-03-01T13:06:02.448000-06:00
tzoffset
-21600
tzname
GMT-0600
overall
(24.11%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.66%)
harmonious color
(-2.12%)
immersiveness
(0.32%)
interaction
(2.00%)
interesting subject
(-44.36%)
intrusive object presence
(-6.45%)
lively color
(3.09%)
low light
(10.42%)
noise
(-4.66%)
pleasant camera tilt
(-10.96%)
pleasant composition
(-58.94%)
pleasant lighting
(-29.71%)
pleasant pattern
(9.03%)
pleasant perspective
(-18.95%)
pleasant post processing
(-0.90%)
pleasant reflection
(-7.34%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.37%)
tastefully blurred
(-5.04%)
well chosen subject
(-39.21%)
well framed subject
(-38.82%)
well timed shot
(-11.68%)
all
(-8.61%)
* 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.