Photos | Canoeing with my Canine Companion
Lori S enjoys a peaceful afternoon paddling around Stow Lake with her furry friend by her side. The blue sky and lush greenery surrounding the area create a perfect backdrop for this outdoor adventure.
BLIP-2 Description:
a woman in a boat with a dogChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
rock plant leisure portrait lady boat pole li glasses life canine vest canoeing photography happy handbag canoe summer watercraft jeans pants lori s sweater cap ring transportation tree outdoor pet strap jungle scarf machine coat waterfront lifejacket vehicle grass rowboat recreation sports smile vegetation activities baseball rainforest pond sky bag ake kayak dinghy water sunglasses oar lake sport woodland а puppy mammal bulldog optical footwear equipment outdoors wristwatch hat jacket shoe land dog sitting hi oars nature car jewelry accessories hound animal knitwear
iso
32
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.77
longitude
-122.48
shutter speed
1/266s
camera make
Apple
camera model
date
2020-11-12T14:54:14.263000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(58.74%)
curation
(66.75%)
highlight visibility
(82.12%)
behavioral
(90.80%)
failure
(-0.20%)
harmonious color
(3.29%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(69.63%)
intrusive object presence
(-2.49%)
lively color
(1.21%)
low light
(0.76%)
noise
(-3.20%)
pleasant camera tilt
(-1.82%)
pleasant composition
(10.80%)
pleasant lighting
(-5.09%)
pleasant pattern
(5.47%)
pleasant perspective
(1.54%)
pleasant post processing
(2.91%)
pleasant reflection
(2.14%)
pleasant symmetry
(0.54%)
sharply focused subject
(4.44%)
tastefully blurred
(2.51%)
well chosen subject
(2.89%)
well framed subject
(58.59%)
well timed shot
(19.01%)
all
(8.64%)
* 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.