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:
mercado undershirt hat del coyoacán cárnudo march dining deliciosas travel sic delcado urban food 記 lamp carntas indoors comidas balloon taquito ofrece reji abraham accessories trip de life chicharion mexico 回 handbag city sesadillas carnudo coyoacan cdmx bazaar crowd pro amirouche pizza baseball carni shoe footwear chair chamorros secci chicharron bag plate carmén child deicam girl colonel shop market lunch carnitas headgear apple ranchero baseball hat furniture iphone glasses spring night max
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 with AI (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.