Photos | Celebrating Team Spirit with Community
The joy in unity and the love for the game take shape as a group of fun-loving, diverse individuals configures itself around our baseball team's emblem. Captured on a sunny summer day, this moment beautifully epitomizes a camaraderie that transcends even the boundaries of the game. From weddings to parties, from porch gatherings to community events, we celebrate together - creating a mosaic of memorable faces, colorful attire, personal expressions, and common dreams, all anchored by the heart of our team. Celebrating community, celebrating us! 19th August 2023.
BLIP-2 Description:
a group of people posing for a photo with a baseball team signMetadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
rockie dress vegetation party portrait glasses shirt cap house girl footwear bag bride grass teen year sandal porch foliage park shorts necklace tree crowd housing bench amusement jewelry building wedding sign outdoors shoe handbag lori nature balloon carter sony pants plant wristwatch theme park architecture baseball hat text summer furniture fun accessories photography shelter art
iso
100
metering mode
5
aperture
f/3.2
focal length
9mm
shutter speed
1/200s
camera make
SONY
camera model
lens model
overall
(55.62%)
curation
(72.68%)
highlight visibility
(6.09%)
behavioral
(70.68%)
failure
(-0.07%)
harmonious color
(4.46%)
immersiveness
(0.39%)
interaction
(6.00%)
interesting subject
(40.89%)
intrusive object presence
(-3.39%)
lively color
(22.72%)
low light
(2.51%)
noise
(-0.98%)
pleasant camera tilt
(-0.51%)
pleasant composition
(-2.50%)
pleasant lighting
(6.69%)
pleasant pattern
(14.72%)
pleasant perspective
(12.87%)
pleasant post processing
(2.98%)
pleasant reflection
(3.63%)
pleasant symmetry
(1.05%)
sharply focused subject
(3.52%)
tastefully blurred
(4.80%)
well chosen subject
(-15.19%)
well framed subject
(33.15%)
well timed shot
(8.17%)
all
(9.22%)
* 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.