Photos | Gathering at LAX airport
Beth Dover, Andy N, Francisco C, and Alvaro V huddle around a table at LAX airport while waiting for their flight. The group packs bags and accessories while dressed in warm clothing to combat the airport's harsh air conditioning.
BLIP-2 Description:
a group of people standing around a table with a man in a sweaterMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
december united winter andy nguyen glasses restaurant plus continental formal footwear bag alvaro shawn shorts states grand cafeteria ave jewelry alvaro v iphone glove francisco c airport handbag shoe valdivieso united states beth dover contreras los angeles knitwear pants downtown andy wristwatch shopping ca suit hat terminal wear sweater francisco district accessories indoors apple crowd california
iso
64
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/15s
camera make
Apple
camera model
lens model
overall
(25.78%)
curation
(91.50%)
highlight visibility
(7.52%)
behavioral
(70.64%)
failure
(-2.17%)
harmonious color
(1.09%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-41.55%)
intrusive object presence
(-15.01%)
lively color
(6.45%)
low light
(39.58%)
noise
(-4.44%)
pleasant camera tilt
(-6.60%)
pleasant composition
(-74.07%)
pleasant lighting
(-40.41%)
pleasant pattern
(8.84%)
pleasant perspective
(-2.47%)
pleasant post processing
(4.45%)
pleasant reflection
(1.10%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.49%)
tastefully blurred
(-34.94%)
well chosen subject
(-58.15%)
well framed subject
(-60.74%)
well timed shot
(-15.73%)
all
(-8.90%)
* 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.