Photos | Game Day Gathering - A Homage to Baseball
Surrounded by incredible architecture, this lively group gathers around a baseball-themed sign, wearing casual, sporty clothing full of character. From the blend of glasses, hats, and wristwatches to the flair of necklaces and bags, their style showcases their shared love and celebration for the game of baseball. This cherished moment, captured on August 19, 2023, embodies camaraderie, love for sport, and the simple joy found in outdoor gatherings.
BLIP-2 Description:
a group of people posing for a photo in front of a baseball themed signChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
architecture summer jeans pants necklace plant building baseball portrait footwear cap outdoors porch wristwatch hat walkway tree girl patio furniture outdoor house rockie text balloon shoe bag land art bench fun sony shirt year glasses shorts teen path nature pergola sphere sign grass jewelry lori accessories housing photography dodger carter handbag park shelter
iso
100
metering mode
5
aperture
f/3.2
focal length
9mm
shutter speed
1/200s
camera make
SONY
camera model
lens model
date
2023-08-19T15:52:47-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(56.88%)
curation
(92.77%)
highlight visibility
(7.77%)
behavioral
(90.76%)
failure
(-0.05%)
harmonious color
(2.01%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(62.40%)
intrusive object presence
(-3.93%)
lively color
(13.81%)
low light
(4.00%)
noise
(-0.73%)
pleasant camera tilt
(-1.11%)
pleasant composition
(12.67%)
pleasant lighting
(5.87%)
pleasant pattern
(11.47%)
pleasant perspective
(15.76%)
pleasant post processing
(0.79%)
pleasant reflection
(1.75%)
pleasant symmetry
(0.93%)
sharply focused subject
(4.17%)
tastefully blurred
(4.53%)
well chosen subject
(-24.93%)
well framed subject
(51.66%)
well timed shot
(16.20%)
all
(9.88%)
* 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.