Photos | Lounging in Ensenada

A man and woman relax in a lawn chair, enjoying the lush foliage and sunny weather of Ensenada, Mexico. Their stylish eyeglasses and sunglasses complement their beachy outfits, while their bracelets and jewelry add a touch of glam to their laid-back look. In the background, a wooden fence and potted plants provide a cozy backdrop for the couple's leisurely afternoon.
BLIP-2 Description:
a man and woman sitting in a lawn chairMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
pen bracelet boy necklace optical plant fence arm portrait chair ring equipment wristwatch photos/futura_mexico furniture eyeglasses foliage swimwear mexico bench old machine shirt zona junglescene glasses teen futura timepiece sunglasses jewelry grass accessories earring drumnbasshed couch centro part potted photography bikini dial watch
Detected Text
date
2002-09-23T10:49:47-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.35%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.51%)
failure
(-0.49%)
harmonious color
(-0.41%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-11.65%)
intrusive object presence
(-10.47%)
lively color
(11.32%)
low light
(12.06%)
noise
(-5.79%)
pleasant camera tilt
(-3.09%)
pleasant composition
(-51.61%)
pleasant lighting
(-30.00%)
pleasant pattern
(3.83%)
pleasant perspective
(-17.18%)
pleasant post processing
(0.99%)
pleasant reflection
(-1.30%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.98%)
tastefully blurred
(-6.62%)
well chosen subject
(-22.72%)
well framed subject
(-5.00%)
well timed shot
(-5.86%)
all
(-5.15%)
* 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.