Photos | Thanksgiving Selfie Fun at Plaza Park, Sonoma

Lori S, Dave B, Jeremiah J, and Michaela light up the night with their infectious smiles in this Thanksgiving selfie. Enjoying a night out in Plaza Park, Sonoma, their laughter echoes amidst the stunning urban architecture around them. Celebrating relationships, friendships, and the joyous spirit of Thanksgiving, this photo sums up a perfect evening. City lights, cherished moments, and a lot of selfies, that's our mode of celebration - Thanksgiving 2023!
BLIP-2 Description:
three people taking a selfie in front of a buildingMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
lighting sonoma jacket path cap shelter city urban outdoors michaela jeremiah j dave lori laughing happy teen girl accessories sidewalk photography window thanksgiving traffic outdoor street pants road arch night glasses building selfie architecture portrait alley light metropolis life hall land blonde hat smile hair nature neighborhood brick coat
iso
1250
metering mode
5
aperture
f/2.2
exposure bias
-0.24
focal length
2mm
latitude
38.29
longitude
-122.46
shutter speed
1/7s
camera make
Apple
camera model
date
2023-11-25T17:41:41.223000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(45.97%)
curation
(92.46%)
highlight visibility
(7.75%)
behavioral
(90.80%)
failure
(-0.78%)
harmonious color
(2.88%)
immersiveness
(0.32%)
interaction
(8.00%)
interesting subject
(35.86%)
intrusive object presence
(-5.27%)
lively color
(-15.86%)
low light
(66.60%)
noise
(-7.71%)
pleasant camera tilt
(-1.10%)
pleasant composition
(-21.73%)
pleasant lighting
(-36.60%)
pleasant pattern
(6.84%)
pleasant perspective
(11.16%)
pleasant post processing
(5.01%)
pleasant reflection
(-5.04%)
pleasant symmetry
(0.83%)
sharply focused subject
(2.10%)
tastefully blurred
(-16.59%)
well chosen subject
(-21.85%)
well framed subject
(51.32%)
well timed shot
(8.33%)
all
(-0.07%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.