Photos | Pier Selfie Squad
Vampiro, Jeff, Luke V, Dave B, and Jeanette V gather with their sunglasses and take a group selfie on the Ventura Pier in California.
BLIP-2 Description:
a group of people taking a selfie on a pierChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2316w x 3088h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet summer jeans port pants selfie pierpont bay optical bleachers fence building portrait beach tortilla flats footwear baseball cap boardwalk equipment outdoors sea jeff eastside hat porch vampiro house pet shoe maria dog dave jeanette v shirt oceanfront glasses water waterfront path nature sunglasses canine jewelry accessories bridge blouse luke walking coast housing shoreline ocean photography mammal animal pier
iso
25
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
34.28
longitude
-119.29
shutter speed
1/122s
camera make
Apple
camera model
lens model
date
2019-11-17T15:27:50.024000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(47.31%)
curation
(93.78%)
highlight visibility
(7.85%)
behavioral
(90.83%)
failure
(-0.22%)
harmonious color
(1.44%)
immersiveness
(0.42%)
interaction
(8.00%)
interesting subject
(53.03%)
intrusive object presence
(-7.81%)
lively color
(4.81%)
low light
(3.59%)
noise
(-6.23%)
pleasant camera tilt
(-5.82%)
pleasant composition
(-26.81%)
pleasant lighting
(-33.72%)
pleasant pattern
(8.08%)
pleasant perspective
(-18.62%)
pleasant post processing
(6.20%)
pleasant reflection
(-5.22%)
pleasant symmetry
(0.20%)
sharply focused subject
(2.05%)
tastefully blurred
(5.79%)
well chosen subject
(-21.61%)
well framed subject
(23.86%)
well timed shot
(2.59%)
all
(-1.61%)
* 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.