Photos | Summer Reverie: A Day in the Park, 2023

Capsulating the unbridled joy of warm, summer days, this candid shot captures a crowd of people immersed in their leisurely activities on a lush, verdant lawn. In the heart of the scene, a man stands, overseeing children playing on the grass – seemingly embodying the spirit of summer itself. This picture was taken during a night at the SF Zoo Sunset Fridays event in 2023, reminding us that sometimes, the simplest joys are the most beautiful.
BLIP-2 Description:
people sitting on the grass in a park with a man standingMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
shelter grass outdoors furniture picnic activities wesley camping sky plant tree child summer wristwatch accessories bag helmet photography outdoor woodland chair pants glasses building park footwear architecture backyard crowd tent grassland vegetation concert palm fridays portrait shorts boy sunlight lawn grove handbag walking yard headgear sunset land leisure sf hat zoo nature fun field shoe
iso
100
metering mode
5
aperture
f/5.6
focal length
28mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2023-07-21T17:40:18.122000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.67%)
curation
(65.81%)
highlight visibility
(5.72%)
behavioral
(90.84%)
failure
(-0.17%)
harmonious color
(0.68%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-23.30%)
intrusive object presence
(-25.20%)
lively color
(-19.30%)
low light
(21.00%)
noise
(-0.98%)
pleasant camera tilt
(-5.59%)
pleasant composition
(-85.25%)
pleasant lighting
(-57.81%)
pleasant pattern
(0.88%)
pleasant perspective
(5.68%)
pleasant post processing
(-0.60%)
pleasant reflection
(2.31%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.34%)
tastefully blurred
(-5.92%)
well chosen subject
(-14.79%)
well framed subject
(-22.25%)
well timed shot
(36.65%)
all
(-5.35%)
* 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.