Photos | Unity and Creativity at Cam's Grad Party
Donald Glover and friends gather on the grass, proudly displaying their artistic posters, while celebrating Cam's graduation in the summer of 2023. Their vibrant energy and colorful attire reflect the joy of this memorable event.
BLIP-2 Description:
a group of people sitting on the ground with postersChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
sleeve bracelet jeans pants necklace plant baseball portrait chantal footwear sweater cap ring happiness wristwatch hat kimmie text party bag shoe shirt parade coat glasses poster long shrub sunglasses banner sign jewelry skirt cam accessories blouse pursuit michaela photography rose donald glover protest cup grad advertisement handbag box knitwear
iso
200
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2023-06-10T17:19:01.955000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.89%)
curation
(91.90%)
highlight visibility
(7.56%)
behavioral
(70.68%)
failure
(-0.39%)
harmonious color
(2.26%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-11.71%)
intrusive object presence
(-21.34%)
lively color
(-0.05%)
low light
(4.17%)
noise
(-1.49%)
pleasant camera tilt
(-1.48%)
pleasant composition
(-70.65%)
pleasant lighting
(-12.93%)
pleasant pattern
(2.12%)
pleasant perspective
(5.09%)
pleasant post processing
(-0.50%)
pleasant reflection
(1.45%)
pleasant symmetry
(0.51%)
sharply focused subject
(1.71%)
tastefully blurred
(-11.55%)
well chosen subject
(-16.86%)
well framed subject
(-28.15%)
well timed shot
(10.16%)
all
(-1.49%)
* 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.