Photos | Flavors of Mexico

A vibrant Mexican flag adorns the front of this charming restaurant in Ensenada, Baja California, which invites visitors to savor the country's delicious cuisine and warm hospitality. With colorful planters and cozy chairs outside, it's the perfect spot to soak up the sun and enjoy a refreshing margarita with friends.
BLIP-2 Description:
a restaurant with a mexican flag on the frontMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture villa door flowerpot necklace flag urban plant building macié chair decorative houseplant transportation jar raper photos/futura_mexico restaurant furniture outdoor house road planter design sky container city pottery street art mexico old storefront junglescene indoors zona hotel futura interior car vehicle jewelry vase accessories cafe centro housing potted shop monastery
Detected Text
date
2002-09-23T10:49:21-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(20.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.44%)
harmonious color
(-2.58%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-66.80%)
intrusive object presence
(-11.47%)
lively color
(-1.22%)
low light
(2.20%)
noise
(-6.96%)
pleasant camera tilt
(-13.83%)
pleasant composition
(-77.49%)
pleasant lighting
(-42.02%)
pleasant pattern
(6.10%)
pleasant perspective
(-18.37%)
pleasant post processing
(2.84%)
pleasant reflection
(-2.62%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.27%)
tastefully blurred
(-7.73%)
well chosen subject
(-9.97%)
well framed subject
(-46.83%)
well timed shot
(-4.86%)
all
(-9.39%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.