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
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
urban street november vegetation jeans portrait child transportation glasses shirt outdoor randoms hoodie footwear grass bag walt sky park jacket tree housing disney city car cartoon lawn pals building baseball cap outdoors handbag shoe campus nature coat neighborhood boy pants plant road vehicle yard architecture blue hat summer wesley shrub accessories photography walking shelter cap land
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
overall
(44.24%)
curation
(66.11%)
highlight visibility
(5.74%)
behavioral
(90.79%)
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.