Photos | A Night of Laughter and Smiles - Thanksgiving 2023
From left to right - Dave B, Lori S, and Jeremiah J, sharing a moment of joy in front of the Plaza Park Building, Sonoma, California. The city lights provide the perfect backdrop for their smiles, captured under zero artificial light. Dressed in casuals, sporting caps, and engaging in light-hearted banter, they epitomize the spirit of Thanksgiving. Welcome to their candid, urban night-life adventure.
BLIP-2 Description:
three people sitting on the ground in front of a buildingMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban rekognition_c street couch night jeans ring portrait glasses shirt outdoor dave body part footwear window bag hall path jacket brick laughing shorts city jewelry happy sidewalk arch building lighting thanksgiving outdoors smile handbag shoe nature lori coat alley neighborhood michaela pants plant metropolis selfie road architecture baseball life hat beard jeremiah j furniture shrub accessories photography headgear sonoma cap land
iso
1600
metering mode
5
aperture
f/2.2
exposure bias
-0.32999999999999996
focal length
2mm
latitude
38.29
longitude
-122.46
shutter speed
1/7s
camera make
Apple
camera model
overall
(49.83%)
curation
(92.63%)
highlight visibility
(7.76%)
behavioral
(90.84%)
failure
(-0.44%)
harmonious color
(3.20%)
immersiveness
(0.49%)
interaction
(2.00%)
interesting subject
(47.27%)
intrusive object presence
(-7.13%)
lively color
(-11.71%)
low light
(46.14%)
noise
(-5.59%)
pleasant camera tilt
(0.18%)
pleasant composition
(-16.33%)
pleasant lighting
(-25.37%)
pleasant pattern
(9.23%)
pleasant perspective
(16.44%)
pleasant post processing
(3.81%)
pleasant reflection
(-6.74%)
pleasant symmetry
(1.20%)
sharply focused subject
(2.49%)
tastefully blurred
(-2.44%)
well chosen subject
(-19.53%)
well framed subject
(44.36%)
well timed shot
(19.78%)
all
(3.23%)
* 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.