Photos | Summer Fun: The Giant White Ball Gathering

Captured on August 19th, 2023, this vibrant snapshot encapsulates a group of 22 nature-dressed individuals, joyously interacting around a massive white ball. Set against the backdrop of stunning architecture and lush greenery, the aura of summer fun and fashion is elevated by the unique accessories, footwear, and stylish hats everyone's sporting. Spot the hidden elements - cameras, handbags, even a pinata – adding a playful layer to the scene. Can you also spot a football and soccer ball? This image speaks volumes about our collective love for the outdoors, games, and spontaneous gatherings.
BLIP-2 Description:
a group of people standing around a large white ballMetadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
architecture summer necklace trunk plant building footwear toy equipment outdoors roof hat crowd tree outdoor bag shoe sandal land glove machine sony camera glasses ball shorts soccer nature wheel electronics pinata vegetation grass jewelry sport accessories lori arbour recreation sports housing garden football handbag park shelter
iso
100
metering mode
5
aperture
f/4
focal length
9mm
shutter speed
1/200s
camera make
SONY
camera model
lens model
date
2023-08-19T15:14:54-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(42.09%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.52%)
failure
(-0.12%)
harmonious color
(9.11%)
immersiveness
(1.39%)
interaction
(1.00%)
interesting subject
(-18.14%)
intrusive object presence
(-7.25%)
lively color
(10.71%)
low light
(2.34%)
noise
(-1.46%)
pleasant camera tilt
(-4.41%)
pleasant composition
(-74.27%)
pleasant lighting
(3.34%)
pleasant pattern
(3.52%)
pleasant perspective
(11.68%)
pleasant post processing
(4.99%)
pleasant reflection
(5.34%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.59%)
tastefully blurred
(1.07%)
well chosen subject
(-16.35%)
well framed subject
(-53.32%)
well timed shot
(14.11%)
all
(2.44%)
* 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.