Photos | Selfie at the Lizzo Theater
Dave B and Lori S capture the moment in front of the Joseph L. Alioto Performing Arts Piazza in San Francisco.
BLIP-2 Description:
a man and woman taking a selfie in front of the lizzo theaterChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
2316w x 3088h - (download 4k)
Usage
Dominant Color:
Location:
architecture civic train lizzo bracelet door jeans selfie pants necklace ca urban building fall prince portrait footwear ring outdoors transportation apple ml sue continental road jacket states dave b text performance city joseph l. alioto performing arts piazza shoe bag francisco iphone street station mcallister st oct negative shirt coat glasses indoors teeth mouth united sunglasses max alley jewelry vehicle san accessories lori office united states railway earring handbag pro october lighting part center entertainment photography photobombing terminal california concert crowd apple shelter
iso
320
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
37.78
longitude
-122.42
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2019-10-27T23:01:41.162000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(37.62%)
curation
(68.66%)
highlight visibility
(82.12%)
behavioral
(70.63%)
failure
(-0.22%)
harmonious color
(-0.77%)
immersiveness
(0.17%)
interaction
(4.00%)
interesting subject
(31.27%)
intrusive object presence
(-4.81%)
lively color
(-2.23%)
low light
(3.13%)
noise
(-5.83%)
pleasant camera tilt
(-4.52%)
pleasant composition
(-14.83%)
pleasant lighting
(-27.44%)
pleasant pattern
(5.54%)
pleasant perspective
(-0.53%)
pleasant post processing
(1.02%)
pleasant reflection
(-10.50%)
pleasant symmetry
(0.29%)
sharply focused subject
(1.51%)
tastefully blurred
(2.76%)
well chosen subject
(-66.55%)
well framed subject
(43.07%)
well timed shot
(0.61%)
all
(-2.97%)
* 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.