Photos | Lakeside Adventure
Dave B and Lori S take a scenic rowboat ride with their furry companion and soak up the summer sun at Monte Rio Beach. #Sunglasses #Accessories #Portrait #Photography #Summer #Vest #Clothing #2Hats #Lifejacket #Water #Man #Adult #Male #Canine #Mammal #Animal #Lake #Nature #BaseballCap #Cap #Boat #Transportation #Pet #Swimwear #Goggles #Dinghy #Watercraft #Beard #Happy #Waterfront #Beach #Shoreline #Coast #Rowboat
BLIP-2 Description:
a man and a woman in a boat with a dogChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2316w x 3088h - (download 4k)
Usage
Dominant Color:
Location:
summer watercraft headgear selfie lori s optical baseball portrait beach cap equipment outdoors transportation hat wristwatch sea dave b pet boat container swimwear strap bird li dog sun dinghy hi shirt glasses water waterfront lifejacket nature sunglasses canine lake vehicle rowboat accessories vest coast beard puppy hound shoreline photography mammal smile animal happy goggles tubing pool
iso
25
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
38.47
longitude
-123.01
shutter speed
1/130s
camera make
Apple
camera model
lens model
date
2020-07-15T12:30:54.275000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(44.34%)
curation
(68.82%)
highlight visibility
(82.28%)
behavioral
(90.85%)
failure
(-0.15%)
harmonious color
(2.03%)
immersiveness
(0.20%)
interaction
(4.00%)
interesting subject
(38.40%)
intrusive object presence
(-10.55%)
lively color
(8.47%)
low light
(0.78%)
noise
(-3.69%)
pleasant camera tilt
(-2.96%)
pleasant composition
(-15.91%)
pleasant lighting
(-34.69%)
pleasant pattern
(2.73%)
pleasant perspective
(3.70%)
pleasant post processing
(1.06%)
pleasant reflection
(-5.83%)
pleasant symmetry
(0.22%)
sharply focused subject
(1.86%)
tastefully blurred
(3.44%)
well chosen subject
(-15.63%)
well framed subject
(54.74%)
well timed shot
(21.15%)
all
(1.87%)
* 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.