Photos | Southern California Gathering
Maya, Cathy V, and Rahnsom B sit down for a meal and a chat on a breezy June afternoon in Ventura. The potted plants, tablecloth, and tableware make for a cozy outdoor dining experience.
BLIP-2 Description:
three people sitting at a table with a red tableclothMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
planter urban dress plate glasses cutlery herbs tablecloth food chair jewelry picnic bouquet linen nature decor cup yard petal blouse meal accessories dining vineyard sitting vegetation portrait baby restaurant backyard maya sky activities spoon terrace housing farm rose table building outdoors cloudy dessert jar plant knife summer daisy fun patio alcohol photography indoors land arrangement bracelet cream girl vase grass necklace juice lunch villa living pottery glass tabletop architecture blue weapon furniture blade potted plant home ikebana countryside child outdoor house leisure porch balcony tree fence rahnsom icing city decorative fork flower tableware room herbal rural beverage utensil beer cathy shelter
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.29
longitude
-119.22
shutter speed
1/923s
camera make
Apple
camera model
overall
(48.54%)
curation
(71.08%)
highlight visibility
(6.12%)
behavioral
(90.85%)
failure
(-0.17%)
harmonious color
(4.31%)
immersiveness
(0.42%)
interaction
(4.00%)
interesting subject
(45.09%)
intrusive object presence
(-31.30%)
lively color
(-3.13%)
low light
(1.00%)
noise
(-1.98%)
pleasant camera tilt
(-6.06%)
pleasant composition
(-25.10%)
pleasant lighting
(-0.95%)
pleasant pattern
(13.92%)
pleasant perspective
(16.49%)
pleasant post processing
(-3.26%)
pleasant reflection
(1.19%)
pleasant symmetry
(2.59%)
sharply focused subject
(1.44%)
tastefully blurred
(-6.88%)
well chosen subject
(-6.38%)
well framed subject
(43.65%)
well timed shot
(16.58%)
all
(5.54%)
* 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.