Photos | Celebrating Cam's Grad Party: A Moment to Remember
This joyful group of 19 friends and family, including Donald Glover, gather in front of a beautifully decorated tent to commemorate Cam's graduation! With radiant smiles, stylish outfits, and the spirit of celebration in the air, this moment from June 10th, 2023 will forever be cherished.
BLIP-2 Description:
a group of people posing for a photo in front of a tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
arrangement phone dress jeans party glasses baby portrait festival mandy shirt mobile skirt bag shorts crowd necklace tree chair jewelry rose flower sign electronics handbag luna lori grad balloon kimmie michaela flower bouquet pants plant parade wristwatch cameron cam hat sunglasses blouse swimwear banner furniture fun accessories photography donald glover art
iso
160
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
overall
(45.95%)
curation
(96.94%)
highlight visibility
(7.94%)
behavioral
(70.67%)
failure
(-0.07%)
harmonious color
(-0.59%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(23.49%)
intrusive object presence
(-16.77%)
lively color
(1.33%)
low light
(7.20%)
noise
(-1.34%)
pleasant camera tilt
(-2.85%)
pleasant composition
(-62.99%)
pleasant lighting
(-18.59%)
pleasant pattern
(5.59%)
pleasant perspective
(12.96%)
pleasant post processing
(-3.06%)
pleasant reflection
(1.44%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.68%)
tastefully blurred
(-2.58%)
well chosen subject
(-14.38%)
well framed subject
(3.74%)
well timed shot
(19.74%)
all
(0.29%)
* 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.