Photos | Summer Games in the Park, 2023
Vibrantly spent summer afternoon! Our lively group, a mix of 2 adults and 22 lively souls, visualizes the perfect blend of joyous interpersonal relationships and sporty spirits. Hats and sunglasses for the scorching heat, sandals and sporty footwear for the playful tackle, and of course, the star of the scene - the football. A classic display of summer camaraderie held dear. Captured in the leafy outdoors of a park, where the world seemed nothing more than a merry playground. A perfect weekend snapshot from Lori Sony’s 2023 collection, where laughter, love, and memories got sewn into a single frame of Time.
BLIP-2 Description:
a group of people standing around a ballChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
wheel phone vegetation glasses outdoor mobile roof footwear grass bag toy garden arbour sandal park shorts soccer tree housing pinata lawn building glove outdoors shoe handbag lori nature electronics sony plant ball wristwatch architecture machine hat sport summer sphere shelter accessories football crowd land
iso
100
metering mode
5
aperture
f/4
focal length
9mm
shutter speed
1/200s
camera make
SONY
camera model
lens model
overall
(41.92%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.12%)
harmonious color
(10.28%)
immersiveness
(1.42%)
interaction
(1.00%)
interesting subject
(-9.46%)
intrusive object presence
(-6.18%)
lively color
(12.83%)
low light
(1.37%)
noise
(-1.20%)
pleasant camera tilt
(-4.49%)
pleasant composition
(-59.96%)
pleasant lighting
(4.62%)
pleasant pattern
(4.08%)
pleasant perspective
(12.96%)
pleasant post processing
(3.46%)
pleasant reflection
(0.79%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.59%)
tastefully blurred
(0.84%)
well chosen subject
(-12.96%)
well framed subject
(-39.43%)
well timed shot
(15.37%)
all
(3.66%)
* 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.