Photos | Unleashed Joy in the Greens: A Day in the Life of Wesley
Wesley, a beacon of energetic innocence, effortlessly embodies the spirit of childhood as he dashes against the backdrop of verdant grass in the heart of San Francisco's Presidio. Note the bright blue sky kissing the top of the trees - a testament to the unmatchable beauty of Nature, the most loyal companion to a child's boundless dreams and adventures. Captured on: November 19th, 2023.
BLIP-2 Description:
a little boy in a black shirt and jeans is running in the grassChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
architecture summer jeans boy pants neighborhood urban hoodie plant building portrait child disney footwear cap yard outdoors transportation november hat tree road outdoor jacket campus cartoon sky shelter bag city shoe baseball cap land street randoms shirt pals coat glasses walt shrub nature car grass vehicle accessories walking housing photography wesley lawn handbag park vegetation
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.8
longitude
-122.46
shutter speed
1/4049s
camera make
Apple
camera model
date
2023-11-19T14:32:32.606000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(44.24%)
curation
(66.11%)
highlight visibility
(5.74%)
behavioral
(90.80%)
failure
(-0.34%)
harmonious color
(5.28%)
immersiveness
(0.37%)
interaction
(4.00%)
interesting subject
(-10.58%)
intrusive object presence
(-5.79%)
lively color
(36.87%)
low light
(5.20%)
noise
(-1.54%)
pleasant camera tilt
(-0.42%)
pleasant composition
(-38.28%)
pleasant lighting
(0.72%)
pleasant pattern
(4.66%)
pleasant perspective
(1.73%)
pleasant post processing
(-2.32%)
pleasant reflection
(5.91%)
pleasant symmetry
(0.12%)
sharply focused subject
(3.93%)
tastefully blurred
(0.33%)
well chosen subject
(-42.97%)
well framed subject
(29.61%)
well timed shot
(-2.11%)
all
(2.74%)
* 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,
just reach out.