Photos | Soccer Enthusiasts Gather for Celebration
A diverse group of soccer enthusiasts come together to enjoy a casual gathering, sharing their passion for the sport and creating lasting memories with friends and family. Surrounded by a colorful array of clothing and accessories, they exchange banter and laughter around a table adorned with a soccer ball centerpiece. Taken during the Cam Grad Party in 2023, this snapshot truly captures the essence of camaraderie and love for the beautiful game.
BLIP-2 Description:
a group of people standing around a table with a soccer ballChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
boy necklace pants hoodie plant baseball portrait mobile child festival cap microphone wristwatch hat text balloon party bag art glove fun shirt coat glasses poster teen ball soccer audience shorts cameron sphere banner sign electronics jewelry cam sport accessories handbag pursuit device phone photography football grad advertisement crowd electrical
Detected Text
iso
160
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-06-10T17:22:57.277000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.87%)
curation
(65.44%)
highlight visibility
(5.53%)
behavioral
(70.57%)
failure
(-0.15%)
harmonious color
(3.93%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(0.76%)
intrusive object presence
(-19.19%)
lively color
(9.28%)
low light
(14.62%)
noise
(-1.95%)
pleasant camera tilt
(-1.42%)
pleasant composition
(-73.44%)
pleasant lighting
(-9.66%)
pleasant pattern
(2.42%)
pleasant perspective
(5.34%)
pleasant post processing
(4.01%)
pleasant reflection
(0.89%)
pleasant symmetry
(0.37%)
sharply focused subject
(1.27%)
tastefully blurred
(-6.28%)
well chosen subject
(-27.42%)
well framed subject
(-14.28%)
well timed shot
(10.94%)
all
(-0.49%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0314
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.