Photos | A Moment of Wonder: Discovering Wildlife

In this heartwarming snapshot, a woman and child immerse themselves in the thrilling experience of observing wildlife. Taken on the scenic day of October 22, 2023, at Golden Gate Park, the pair stand in awe, highlighting the enriching value of nature education. The woman's stylish accessories and the curious child's baseball cap add a charming personal touch to this beautiful occasion. Their wonder and fascination serve as a reminder of our shared connection with all living beings on this planet.
BLIP-2 Description:
a woman and child looking at a display of animalsMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
headgear pants gate plant soil baseball wilderness portrait wildlife golden antelope cap rocks outdoors hat luggage wristwatch impala tree field sheep sky container landscape livestock grassland academy glasses coat deer photographer nature wheel grass sciences accessories lori zoo goat photography mammal animal elk park vegetation
iso
2500
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-10-22T15:41:32.110000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.13%)
curation
(69.37%)
highlight visibility
(2.60%)
behavioral
(90.92%)
failure
(-0.22%)
harmonious color
(2.50%)
immersiveness
(0.51%)
interaction
(2.00%)
interesting subject
(-51.51%)
intrusive object presence
(-12.04%)
lively color
(-32.59%)
low light
(3.78%)
noise
(-0.49%)
pleasant camera tilt
(-6.37%)
pleasant composition
(-84.47%)
pleasant lighting
(-26.73%)
pleasant pattern
(0.66%)
pleasant perspective
(5.69%)
pleasant post processing
(-1.70%)
pleasant reflection
(-2.35%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.24%)
tastefully blurred
(-3.35%)
well chosen subject
(11.36%)
well framed subject
(-39.62%)
well timed shot
(18.38%)
all
(-4.48%)
* 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.