Photos | Dining with Friends in Ojai
Chantal L, Dave B, Cameron J, Rose, Jeremiah J, Lori S and Michaela enjoy a lovely meal together at a beautiful table in Ojai, California.
BLIP-2 Description:
a group of people sitting at a tableChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
jeremiah j tabletop glass indoors knife optical bouquet goblet food rose chantal l restaurant electronics wedding necklace wood room drinking countryside dining lori plant wedding gown linen wristwatch rural accessories equipment glasses building footwear architecture utensil blade phone bracelet cameron shoe couch furniture dress container weapon dave home tree fashion formal ring lunch sunglasses plate liquor dining table alcohol vineyard fun tableware outdoors decor michaela wear beverage photography gown jewelry chair arrangement beer vegetation portrait party table mobile cup meal farm flower nature
iso
32
metering mode
5
aperture
f/2
focal length
6mm
latitude
34.44
longitude
-119.26
shutter speed
1/122s
camera make
Apple
camera model
lens model
date
2019-11-16T13:35:02.932000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(48.29%)
curation
(95.63%)
highlight visibility
(7.99%)
behavioral
(90.93%)
failure
(-0.32%)
harmonious color
(-0.49%)
immersiveness
(0.07%)
interaction
(22.00%)
interesting subject
(40.16%)
intrusive object presence
(-12.26%)
lively color
(3.05%)
low light
(6.57%)
noise
(-8.45%)
pleasant camera tilt
(-4.45%)
pleasant composition
(-38.67%)
pleasant lighting
(-22.49%)
pleasant pattern
(6.10%)
pleasant perspective
(-2.06%)
pleasant post processing
(2.72%)
pleasant reflection
(-2.74%)
pleasant symmetry
(0.24%)
sharply focused subject
(1.86%)
tastefully blurred
(0.15%)
well chosen subject
(-39.99%)
well framed subject
(6.85%)
well timed shot
(11.60%)
all
(-0.50%)
* 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.