Photos | Urban Nights at Ojai Valley Inn
Tara Mounsey and friends enjoy a night out at the Ojai Valley Inn, surrounded by the sleek interior and accessories of an urban restaurant, complete with drinks, laughter and lively conversation.
BLIP-2 Description:
a group of people sitting at a table with wine glassesMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
travel restaurant accessories architecture fall urban plant table food lamp ojai formal trip valley suit wine wear california ca pro drinking tara dining room interior inn knife dining furniture indoors hat glass outdoors room continental court building apple tableware blade cup night weapon utensil united states party meal november dinner max rekognition_c ave life pub interior room mounsey iphone fun glasses
iso
1250
metering mode
5
aperture
f/1.8
exposure bias
-0.11000000000000001
focal length
4mm
latitude
34.44
longitude
-119.26
shutter speed
1/8s
camera make
Apple
camera model
overall
(20.85%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-2.59%)
harmonious color
(-0.27%)
immersiveness
(0.37%)
interaction
(6.00%)
interesting subject
(-47.19%)
intrusive object presence
(-68.51%)
lively color
(-3.52%)
low light
(78.47%)
noise
(-5.81%)
pleasant camera tilt
(-10.33%)
pleasant composition
(-77.25%)
pleasant lighting
(-38.09%)
pleasant pattern
(10.57%)
pleasant perspective
(-16.11%)
pleasant post processing
(3.27%)
pleasant reflection
(-5.33%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.24%)
tastefully blurred
(-36.52%)
well chosen subject
(-34.28%)
well framed subject
(-46.46%)
well timed shot
(-14.83%)
all
(-10.56%)
* 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 with AI (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.