Photos | Three People Pose in Front of Yellow Ensenada Building

Two adults and a child stand casually in front of a vibrant yellow building, wearing baseball caps and sunglasses on a sunny day in Baja California.
BLIP-2 Description:
three people standing in front of a yellow buildingMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture villa train rise jeans pants necklace neighborhood urban building baseball portrait child footwear cap outdoors transportation sidewalk hat photos/futura_mexico girl condo road outdoor house vacation city bag shoe station land mall street crystal t mexico old machine fun shirt zona junglescene glasses futura path sunglasses car vehicle alley jewelry accessories shopping high office railway downtown walking centro housing automobile photography terminal tourist shop handbag shelter
Detected Text
date
2002-09-23T10:49:53-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.23%)
curation
(65.56%)
highlight visibility
(5.54%)
behavioral
(70.65%)
failure
(-0.59%)
harmonious color
(-3.46%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-1.28%)
intrusive object presence
(-11.99%)
lively color
(-3.49%)
low light
(5.83%)
noise
(-12.43%)
pleasant camera tilt
(-8.36%)
pleasant composition
(-55.27%)
pleasant lighting
(-44.60%)
pleasant pattern
(16.46%)
pleasant perspective
(-3.34%)
pleasant post processing
(0.50%)
pleasant reflection
(-1.29%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.24%)
tastefully blurred
(-18.54%)
well chosen subject
(-41.87%)
well framed subject
(-12.10%)
well timed shot
(2.51%)
all
(-6.33%)
* 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.