Photos | Kite Runner: The Outdoor Hangout
A beautiful November day captured in 2023 at SF Zoo. Wesley and Dave B enjoy the breeze, as the kite, cheer and laughter dot the crisp, clear sky. Notice the subtle play of nature and clothing as they collide in a harmonious hue of blues and greens; from our jackets and jeans to the vibrant vegetation. Enjoying the simpler pleasures of life, with companionship of a kite, friends, and a loyal, furry pet.
BLIP-2 Description:
a man holding a kite in the airChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
sleeve bracelet jeans pants plant soil baseball portrait footwear sf sweater baby cap rocks outdoors november hat walkway tree outdoor jacket pet sky shoe bag land dog machine grove dave camera coat glasses long path photographer nature wheel canine sunglasses electronics grass jewelry accessories zoo woodland blazer walking knitwear part photography mammal animal wesley handbag park vegetation
iso
125
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-11-12T16:02:01.630000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(66.60%)
curation
(68.92%)
highlight visibility
(5.95%)
behavioral
(90.86%)
failure
(-0.22%)
harmonious color
(6.21%)
immersiveness
(1.20%)
interaction
(1.00%)
interesting subject
(70.80%)
intrusive object presence
(-3.69%)
lively color
(3.12%)
low light
(2.76%)
noise
(-1.44%)
pleasant camera tilt
(-2.17%)
pleasant composition
(20.57%)
pleasant lighting
(8.82%)
pleasant pattern
(2.83%)
pleasant perspective
(9.36%)
pleasant post processing
(4.24%)
pleasant reflection
(0.26%)
pleasant symmetry
(1.42%)
sharply focused subject
(13.96%)
tastefully blurred
(23.32%)
well chosen subject
(9.82%)
well framed subject
(66.11%)
well timed shot
(27.47%)
all
(13.74%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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,
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