Photos | Baseball-themes Summer Get-Together 2023

Moment from the delightful summer party held on August 19, 2023. The group of 10, including Kim Vithana, strikes a pose in front of our unique baseball-themed sign. With sun, smiles, and casual summer attire, it was indeed an afternoon to remember.
BLIP-2 Description:
a group of people posing for a photo in front of a baseball themed signMetadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
housing cap shelter outdoors furniture kim vithana sony year lori jeans fun plant teen tree summer wristwatch girl accessories bag shirt photography baseball sandal jewelry pants rteh glasses building rockie footwear architecture foliage vegetation bench 瓜 portrait text shorts party handbag dodger balloon house hat art patio nature porch necklace shoe
iso
100
metering mode
5
aperture
f/3.2
focal length
9mm
shutter speed
1/200s
camera make
SONY
camera model
lens model
date
2023-08-19T15:52:28-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(55.22%)
curation
(71.30%)
highlight visibility
(5.98%)
behavioral
(70.60%)
failure
(-0.07%)
harmonious color
(3.10%)
immersiveness
(0.22%)
interaction
(4.00%)
interesting subject
(50.54%)
intrusive object presence
(-3.71%)
lively color
(21.67%)
low light
(2.86%)
noise
(-1.00%)
pleasant camera tilt
(-0.06%)
pleasant composition
(11.87%)
pleasant lighting
(11.39%)
pleasant pattern
(12.65%)
pleasant perspective
(12.95%)
pleasant post processing
(3.46%)
pleasant reflection
(3.06%)
pleasant symmetry
(0.85%)
sharply focused subject
(3.64%)
tastefully blurred
(-1.43%)
well chosen subject
(-23.13%)
well framed subject
(46.29%)
well timed shot
(4.23%)
all
(9.76%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.