Photos | Urban Portraiture
A young woman stands in front of a store in Ensenada, Mexico, surrounded by trees and people, her black top contrasting sharply with the pale facade of the building.
BLIP-2 Description:
a woman in a black top is standing in front of a storeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet summer villa door necklace pants neighborhood urban plant building arm portrait window footwear outdoors transportation wristwatch hat sidewalk photos/futura_mexico tree girl road outdoor house bag city swimwear shoe sliding door street mexico old shirt zona junglescene glasses teen shorts futura path palm tree sunglasses electronics car jewelry vehicle accessories earring centro housing potted part phone photography bikini palm handbag undershirt shelter
Detected Text
date
2002-09-23T10:51:26-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.03%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.51%)
harmonious color
(-0.73%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-15.05%)
intrusive object presence
(-10.50%)
lively color
(-9.31%)
low light
(34.47%)
noise
(-8.84%)
pleasant camera tilt
(-7.89%)
pleasant composition
(-54.83%)
pleasant lighting
(-50.10%)
pleasant pattern
(10.11%)
pleasant perspective
(6.74%)
pleasant post processing
(0.75%)
pleasant reflection
(-2.41%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.59%)
tastefully blurred
(-9.38%)
well chosen subject
(-49.46%)
well framed subject
(7.71%)
well timed shot
(-5.40%)
all
(-7.09%)
* 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.