Photos | Smiling Couple in Ensenada

Marie-Philip Poulin and Smythen J pose for a portrait in their casual clothing and hats, flashing grins that light up the room in Ensenada, Baja California.
BLIP-2 Description:
a man and woman are smiling at the cameraMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
headgear bride selfie amusement marie-philip poulin baseball portrait speaker cap wedding hat photos/futura_mexico restaurant mexico old shirt club zona junglescene indoors glasses futura belt smythen j electronics jewelry accessories earring drumnbasshed centro photography photobombing smile happy dress park
Detected Text
date
2002-09-23T10:51:35-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.45%)
curation
(66.06%)
highlight visibility
(5.58%)
behavioral
(70.51%)
failure
(-0.83%)
harmonious color
(-1.69%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(25.76%)
intrusive object presence
(-11.01%)
lively color
(3.88%)
low light
(2.61%)
noise
(-5.66%)
pleasant camera tilt
(-3.57%)
pleasant composition
(-43.80%)
pleasant lighting
(-32.10%)
pleasant pattern
(2.49%)
pleasant perspective
(-6.90%)
pleasant post processing
(1.62%)
pleasant reflection
(1.03%)
pleasant symmetry
(0.10%)
sharply focused subject
(2.69%)
tastefully blurred
(-6.32%)
well chosen subject
(-63.48%)
well framed subject
(26.73%)
well timed shot
(0.73%)
all
(-4.95%)
* 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.
* 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.