Photos | Kayaking through the Wild
A man paddles his kayak through the lush vegetation of Russian River, surrounded by towering trees and a clear blue sky on a perfect summer day.
BLIP-2 Description:
a man on a kayak paddling through a riverChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
paddle fishing conifer rock plant leisure portrait trail sea gravel cloud boat scenery canine fir vest pro walking canoeing shoreline photography range california continental canoe summer bohemian russian transportation tree monte states road outdoor pebble pet landscape hwy stream bird jungle lifejacket grass vehicle green rowboat sports vegetation activities ca soil beach rainforest monte rio beach pond creek rio sky pine kayak swimming grove water path river lake sport adventure woodland coast natural mammal park hiking wilderness environment peak outdoors hat land iphone dog oars july mountain nature united max blue sky animal apple
iso
20
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
38.47
longitude
-123.01
shutter speed
1/480s
camera make
Apple
camera model
date
2020-07-15T12:55:02.585000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(46.80%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.47%)
failure
(-0.71%)
harmonious color
(4.13%)
immersiveness
(5.91%)
interaction
(1.00%)
interesting subject
(-11.79%)
intrusive object presence
(-3.56%)
lively color
(12.82%)
low light
(0.37%)
noise
(-1.07%)
pleasant camera tilt
(-4.39%)
pleasant composition
(23.65%)
pleasant lighting
(-1.17%)
pleasant pattern
(2.81%)
pleasant perspective
(14.39%)
pleasant post processing
(-3.63%)
pleasant reflection
(-0.79%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.63%)
tastefully blurred
(-4.53%)
well chosen subject
(1.17%)
well framed subject
(0.04%)
well timed shot
(8.50%)
all
(8.80%)
* 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.