Photos | Cam's Graduation Bash 2023

Friends and family celebrating Cam's success at the unforgettable Graduation Party - featuring special guests Donald Glover and Asun Ortega! (#FunTimes #GradParty #TentVibes)
BLIP-2 Description:
a group of people posing for a photo in front of a tentMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture costume jeans mandy necklace pants formal plant building jeremiah portrait chair flower gown flower bouquet festival arrangement outdoors tent wristwatch hat asun kimmie tree furniture dave b balloon party bag swimwear fashion fun shirt parade glasses shorts wear cameron sunglasses banner sign jewelry skirt cam grass accessories lori blouse handbag ortega luna michaela photography rose dress donald glover cup grad crowd shelter
iso
160
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2023-06-10T17:20:08.188000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.12%)
curation
(97.93%)
highlight visibility
(8.17%)
behavioral
(90.79%)
failure
(-0.07%)
harmonious color
(1.50%)
immersiveness
(0.15%)
interaction
(2.00%)
interesting subject
(23.27%)
intrusive object presence
(-19.53%)
lively color
(0.83%)
low light
(7.50%)
noise
(-1.27%)
pleasant camera tilt
(-3.83%)
pleasant composition
(-66.70%)
pleasant lighting
(-12.81%)
pleasant pattern
(4.79%)
pleasant perspective
(11.85%)
pleasant post processing
(-0.66%)
pleasant reflection
(2.29%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.73%)
tastefully blurred
(-3.37%)
well chosen subject
(-11.19%)
well framed subject
(-0.57%)
well timed shot
(21.75%)
all
(1.09%)
* 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-4-0314
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.