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:
path grass activities apple canoeing sky transportation hiking natural mountain max outdoor monte states gravel road pebble park rowboat fir canoe sports creek trail green hwy canine leisure blue sky hat ca soil rainforest plant environment rock animal paddle swimming lake pet dog landscape water oars rio peak california pine stream river bird tree adventure summer woodland bohemian russian beach lifejacket continental pro vest kayak shoreline july wilderness scenery range outdoors conifer coast vehicle boat sea mammal photography cloud sport fishing iphone jungle pond vegetation portrait grove walking united land nature monte rio beach
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.