Photos | Villa Resort Dining
A crowd of 32 people enjoy a summer meal at an indoor dining table near the pool at the Villa Resort in Ensenada, Mexico. The restaurant's architecture and foliage provide shelter and ambiance, while palm trees and other greenery remain visible through the building's large windows.
BLIP-2 Description:
a group of people sitting at tables near a poolMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
futura mexico countryside bracelet restaurant baby portrait palm photos/futura_mexico old house roof camera resort footwear bag court foliage food tree cafeteria potted housing chair zona bench jewelry rznn table building villa junglescene electronics outdoors shoe handbag desk nature hotel hacienda umbrella hut room plant rural cafe architecture centro hat utensil summer furniture accessories photography dining indoors shelter crowd
Detected Text
overall
(27.91%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.42%)
harmonious color
(-0.74%)
immersiveness
(1.83%)
interaction
(1.00%)
interesting subject
(-50.68%)
intrusive object presence
(-5.79%)
lively color
(-7.26%)
low light
(0.78%)
noise
(-10.52%)
pleasant camera tilt
(-8.28%)
pleasant composition
(-73.93%)
pleasant lighting
(-31.15%)
pleasant pattern
(8.50%)
pleasant perspective
(-1.40%)
pleasant post processing
(-2.33%)
pleasant reflection
(1.44%)
pleasant symmetry
(1.05%)
sharply focused subject
(0.39%)
tastefully blurred
(-4.65%)
well chosen subject
(4.79%)
well framed subject
(-56.54%)
well timed shot
(-2.06%)
all
(-5.59%)
* 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.