Photos | A Young Boy's Flamingo Fascination

This captivating shot, captured on July 3, 2023, is of young Wesley entranced by a flamingo at San Francisco Zoo & Gardens. Encapsulating the innate curiosity of children, the vivid color of the flamingo, the shimmering pond and the lush backdrop of the zoo, this photograph truly illustrates how magical nature can appear through a child's eyes. Wesley's adventure day in parkland, watching the flurry of 15 birds around, his wandering interest piqued by the flamingos, aquarium, sea life and much more. An urban escape with a taste of wildlife!
BLIP-2 Description:
a young boy looking at a flamingo in a zooMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
boy pants rock hoodie plant soil urban portrait child footwear flower sweater outdoors jar sea walkway pond jacket planter shoe pottery city bird beak sitting shoes randoms coat water life path flamingo nature grass vase pool sneaker zoo fish potted part photography dress animal wesley aquarium park knitwear
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.5
shutter speed
1/773s
camera make
Apple
camera model
date
2023-07-03T16:00:57.620000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(44.65%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.54%)
failure
(-0.15%)
harmonious color
(3.92%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(19.67%)
intrusive object presence
(-4.49%)
lively color
(9.42%)
low light
(0.46%)
noise
(-4.59%)
pleasant camera tilt
(-6.05%)
pleasant composition
(-25.34%)
pleasant lighting
(6.12%)
pleasant pattern
(3.96%)
pleasant perspective
(14.09%)
pleasant post processing
(-1.32%)
pleasant reflection
(0.04%)
pleasant symmetry
(0.34%)
sharply focused subject
(2.00%)
tastefully blurred
(-3.12%)
well chosen subject
(-9.33%)
well framed subject
(34.42%)
well timed shot
(27.32%)
all
(6.74%)
* 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.