Photos | Celebrating Success at Cam Grad Party
Donald Glover and a friend share a joyful moment in front of a festive banner as they commemorate their hard-earned achievements. Surrounded by friends, laughter, and greenery, the atmosphere buzzes with excitement and pride.
BLIP-2 Description:
a man and woman posing for a photo in front of a bannerChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture pants plant building baseball portrait chair cap ring outdoors tent hat wristwatch purple tree graduation furniture text shelter party bag ceremony shirt parade glasses shorts cameron sunglasses banner sign jewelry grass cam accessories blouse pursuit michaela photography laughing happy donald glover grad handbag vegetation
iso
200
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-06-10T17:24:19.600000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.55%)
curation
(68.02%)
highlight visibility
(5.88%)
behavioral
(90.73%)
failure
(-0.27%)
harmonious color
(1.12%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(35.06%)
intrusive object presence
(-41.46%)
lively color
(-2.05%)
low light
(4.79%)
noise
(-1.44%)
pleasant camera tilt
(-5.40%)
pleasant composition
(-68.21%)
pleasant lighting
(-21.61%)
pleasant pattern
(1.51%)
pleasant perspective
(7.07%)
pleasant post processing
(1.81%)
pleasant reflection
(2.61%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.83%)
tastefully blurred
(-46.46%)
well chosen subject
(-33.13%)
well framed subject
(37.99%)
well timed shot
(16.52%)
all
(-2.12%)
* 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.