Photos | Cherished Moments in Nature

A man and a child shared a joyous moment sitting on the lush grass in the park, the carefree tranquility of a summer day beautifully captured. From their bright clothing to a nearby stroller, the scenery hints at a family outing filled with joy and smiles. This moment was lovingly captured during one of the SF Zoo Sunset Fridays in 2023. Their laughter blended perfectly with the rustle of the wind, creating a perfect picture of shared happiness and outdoor fun.
BLIP-2 Description:
a man and a child sitting on the grass in a parkMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture sunset activities boy pants optical plant building leisure portrait child footwear sf baby ring yard equipment outdoors tent tree field outdoor sky shelter shoe bag land grassland sitting machine fun dave shirt glasses picnic shorts helmet nature sunglasses grass vehicle jewelry sneaker camping accessories backyard zoo woodland stroller photography wesley lawn handbag park fridays vegetation
iso
100
metering mode
5
aperture
f/4
focal length
28mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2023-07-21T17:01:59.755000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(61.04%)
curation
(71.36%)
highlight visibility
(6.14%)
behavioral
(90.99%)
failure
(-0.15%)
harmonious color
(1.12%)
immersiveness
(0.10%)
interaction
(4.00%)
interesting subject
(65.48%)
intrusive object presence
(-17.48%)
lively color
(4.15%)
low light
(6.08%)
noise
(-2.32%)
pleasant camera tilt
(2.42%)
pleasant composition
(-20.08%)
pleasant lighting
(-5.71%)
pleasant pattern
(1.68%)
pleasant perspective
(12.49%)
pleasant post processing
(0.15%)
pleasant reflection
(-0.18%)
pleasant symmetry
(0.20%)
sharply focused subject
(15.19%)
tastefully blurred
(45.61%)
well chosen subject
(-31.98%)
well framed subject
(73.44%)
well timed shot
(30.71%)
all
(7.36%)
* 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.