Photos | Relaxing with My Best Friend
Lori S and her trusty companion enjoy a beer and the beautiful California coastline on a sunny afternoon.
BLIP-2 Description:
a woman and her dog are sitting in a chair with a beerChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
cocktail ocean grass potted apple drink sky glass indoors max outdoor sun states optical park food trip swimwear ball fall canine cloudy hat ca soil room shelter drinking apple ml countryside dining sitting lori plant accessories equipment rock animal glasses building lake footwear september architecture pet landscape utensil water handbag california rekognition_c shoe furniture travel waterfront juice tree summer bag lunch tennis sunglasses beach prince liquor continental bench alcohol pro disposable headgear shoreline tableware scenery outdoors lori s coast blue sea mammal beverage photography cloud sue sport chair iphone beer vegetation jenner portrait table cup meal united flower nature lager
iso
25
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
38.53
longitude
-123.28
shutter speed
1/3690s
camera make
Apple
camera model
date
2021-09-04T17:12:34.377000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(59.47%)
curation
(69.70%)
highlight visibility
(6.01%)
behavioral
(91.00%)
failure
(-0.15%)
harmonious color
(9.06%)
immersiveness
(0.68%)
interaction
(8.00%)
interesting subject
(33.33%)
intrusive object presence
(-7.10%)
lively color
(19.36%)
low light
(3.64%)
noise
(-2.00%)
pleasant camera tilt
(-4.96%)
pleasant composition
(-16.41%)
pleasant lighting
(3.72%)
pleasant pattern
(3.91%)
pleasant perspective
(10.14%)
pleasant post processing
(-2.24%)
pleasant reflection
(-0.55%)
pleasant symmetry
(0.46%)
sharply focused subject
(1.81%)
tastefully blurred
(0.54%)
well chosen subject
(7.75%)
well framed subject
(17.55%)
well timed shot
(12.49%)
all
(8.34%)
* 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.