Photos | Graduation Party Bliss
Celebrating Cam's achievement with friends, family, and the charming Donald Glover at our sun-kissed backyard lawn party! A heartwarming day filled with laughter, togetherness, and captivating memories! #CamGradParty2023 #DonaldGlover #OutdoorCelebration
BLIP-2 Description:
a group of people sitting on a lawn with a babyChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
cap grass skirt container michaela wesley jeans blouse poster laughing happy lori child plant chantal pursuit wristwatch accessories shirt sign photography baseball sandal jewelry happiness pants glasses footwear luggage cam banner rose kimmie collage party portrait text boy shrub coat cup grad advertisement hat art donald glover necklace shoe
iso
320
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-06-10T17:19:03.255000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.53%)
curation
(93.98%)
highlight visibility
(7.87%)
behavioral
(90.73%)
failure
(-0.20%)
harmonious color
(1.72%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(5.63%)
intrusive object presence
(-12.21%)
lively color
(2.01%)
low light
(1.49%)
noise
(-1.37%)
pleasant camera tilt
(-3.16%)
pleasant composition
(-65.82%)
pleasant lighting
(-7.47%)
pleasant pattern
(2.66%)
pleasant perspective
(2.08%)
pleasant post processing
(0.47%)
pleasant reflection
(1.46%)
pleasant symmetry
(0.37%)
sharply focused subject
(1.49%)
tastefully blurred
(-20.20%)
well chosen subject
(-27.34%)
well framed subject
(-14.67%)
well timed shot
(4.28%)
all
(-1.33%)
* 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.