Photos | A Night to Remember
Aygül Özkan and her partner strike a pose for a selfie in the urban nightlife of San Bernardino. The stylish eyeglasses and trendy accessories enhance the stunning portrait.
BLIP-2 Description:
a man and woman are posing for a photo togetherChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2320w x 3088h - (download 4k)
Usage
Location:
continental selfie hair boa ca urban optical feather fall portrait equipment outdoors purple hat apple ml states performance plus eyeglasses mill iphone negative night life club glasses nature united san light accessories lori united states night darkness october aygül özkan lighting st entertainment photography bernardino california concert apple cinema
iso
2000
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
34.09
longitude
-117.29
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2016-10-29T22:19:00.146000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(8.67%)
curation
(65.64%)
highlight visibility
(2.45%)
behavioral
(70.52%)
failure
(-14.77%)
harmonious color
(-4.75%)
immersiveness
(0.46%)
interaction
(4.00%)
interesting subject
(-48.61%)
intrusive object presence
(-3.76%)
lively color
(-22.79%)
low light
(99.37%)
noise
(-57.86%)
pleasant camera tilt
(1.43%)
pleasant composition
(-45.19%)
pleasant lighting
(-79.20%)
pleasant pattern
(1.64%)
pleasant perspective
(-22.06%)
pleasant post processing
(-16.75%)
pleasant reflection
(3.40%)
pleasant symmetry
(0.24%)
sharply focused subject
(1.10%)
tastefully blurred
(-17.83%)
well chosen subject
(-12.45%)
well framed subject
(-27.49%)
well timed shot
(-6.96%)
all
(-14.20%)
* 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.
* 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.