Photos | Selfie in Style
A man in a suit captures his dapper look in a mirror selfie while surrounded by elegant flower arrangements and stylish furniture. #FormalWear #Portrait #Fashion
BLIP-2 Description:
a man in a suit taking a selfie in front of a mirrorChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
tie door chip formal pants plant frame portrait overcoat flower tuxedo gown sf arrangement bedroom cabinet ministumbler furniture jacket text stumbling oc gun michael husband art fashion aphelion dave shirt camera coat junglescene desk indoors handgun mom wear electronics suit accessories table flower arrangement bed room blazer sf_ministumbler-stumbling_in_sf_with_my_mom_and_her_husband_michael__aphelion_driving_to_oc__seperat couch home potted driving decor photography dress firearm seperate bouquet linen weapon
Detected Text
date
2002-08-29T13:26:09-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(34.89%)
curation
(65.55%)
highlight visibility
(5.54%)
behavioral
(70.57%)
failure
(-0.51%)
harmonious color
(1.85%)
immersiveness
(0.20%)
interaction
(6.00%)
interesting subject
(-18.74%)
intrusive object presence
(-9.67%)
lively color
(5.51%)
low light
(20.36%)
noise
(-17.38%)
pleasant camera tilt
(-5.86%)
pleasant composition
(-30.03%)
pleasant lighting
(-25.05%)
pleasant pattern
(4.03%)
pleasant perspective
(0.11%)
pleasant post processing
(-0.84%)
pleasant reflection
(-1.29%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.78%)
tastefully blurred
(-8.96%)
well chosen subject
(-11.59%)
well framed subject
(38.89%)
well timed shot
(-5.48%)
all
(-1.54%)
* 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.