Photos | Bustling Food Market at Mercado de Coyoacan
Reji Abraham and Colonel Amirouche among the diverse crowd of 44 individuals with stylish hats and footwear at the busy market in Mexico City.
BLIP-2 Description:
a large crowd of people at a food marketMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
colonel urban coyoacan mexico delcado lamp night plate cárnudo child glasses de trip girl footwear carnitas bag march baseball hat carni ofrece carntas food reji abraham carmén ranchero chair city comidas shop lunch chicharion iphone amirouche shoe handbag deicam chamorros balloon mercado max market 回 taquito carnudo del spring indoors undershirt chicharron 記 cdmx apple pro pizza baseball life hat secci sic furniture travel bazaar dining headgear sesadillas deliciosas coyoacán accessories crowd
Detected Text
iso
160
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
19.35
longitude
-99.16
shutter speed
1/60s
camera make
Apple
camera model
overall
(30.27%)
curation
(60.00%)
highlight visibility
(5.12%)
behavioral
(70.60%)
failure
(-0.46%)
harmonious color
(-1.25%)
immersiveness
(0.34%)
interaction
(10.00%)
interesting subject
(-41.50%)
intrusive object presence
(-10.64%)
lively color
(-0.89%)
low light
(17.21%)
noise
(-4.64%)
pleasant camera tilt
(-8.64%)
pleasant composition
(-73.05%)
pleasant lighting
(-29.10%)
pleasant pattern
(11.30%)
pleasant perspective
(-7.10%)
pleasant post processing
(0.19%)
pleasant reflection
(-5.06%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.49%)
tastefully blurred
(-6.03%)
well chosen subject
(-27.69%)
well framed subject
(-45.56%)
well timed shot
(-9.97%)
all
(-7.43%)
* 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.