Photos | Nightlife in Santa Ana

Dave B and Jeffrey W enjoying drinks and conversation at a pub in Santa Ana, California. The dim lighting and cozy furniture make for a perfect atmosphere to unwind after a long day.
BLIP-2 Description:
a group of people sitting at a table in a dark roomMetadata
Capture date:
Original Dimensions:
1280w x 960h - (download 4k)
Usage
Dominant Color:
Location:
lighting room drinking city urban furniture outdoors dining dave part glass jeffrey w court beard beverage indoors accessories photography central diner pub downtown historic district night glasses building architecture crowd club food beer utensil portrait bar table dining table interior dinner bar counter alcohol restaurant life headgear hat nature tableware
iso
1600
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
33.75
longitude
-117.87
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2014-02-27T19:34:17.929000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(21.22%)
curation
(68.01%)
highlight visibility
(5.88%)
behavioral
(90.82%)
failure
(-2.32%)
harmonious color
(-0.74%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-26.34%)
intrusive object presence
(-5.08%)
lively color
(-28.22%)
low light
(99.95%)
noise
(-67.53%)
pleasant camera tilt
(-5.94%)
pleasant composition
(-61.57%)
pleasant lighting
(-63.77%)
pleasant pattern
(4.44%)
pleasant perspective
(-7.57%)
pleasant post processing
(1.61%)
pleasant reflection
(-0.04%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.32%)
tastefully blurred
(-13.93%)
well chosen subject
(-40.21%)
well framed subject
(-43.04%)
well timed shot
(-1.54%)
all
(-11.36%)
* 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.