Photos | Unforgettable Graduation Celebration

Friends and family pose with Donald Glover and LaLa Nestor at Cam's Grad Party in front of a custom banner – all smiles and laughter, marking a joyous day for graduates and loved ones. (June 10, 2023)
BLIP-2 Description:
a group of people posing for a photo in front of a bannerMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
costume jeans mandy necklace pants plant jeremiah baseball portrait chair child footwear festival cap marissa outdoors hat wristwatch kimmie tree girl furniture dave b utensil nestor balloon party shoe bag art lala glove fun shirt coat glasses umbrella nature cameron banner sign jewelry grass cam accessories lori blouse handbag luna laughing photography rose dress happy cup grad donald glover crowd park
iso
160
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2023-06-10T17:21:01.899000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(54.05%)
curation
(97.92%)
highlight visibility
(8.17%)
behavioral
(90.78%)
failure
(-0.05%)
harmonious color
(4.78%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(51.81%)
intrusive object presence
(-16.16%)
lively color
(5.22%)
low light
(3.22%)
noise
(-1.07%)
pleasant camera tilt
(-1.80%)
pleasant composition
(-41.80%)
pleasant lighting
(2.58%)
pleasant pattern
(6.45%)
pleasant perspective
(23.71%)
pleasant post processing
(3.63%)
pleasant reflection
(2.72%)
pleasant symmetry
(1.00%)
sharply focused subject
(1.20%)
tastefully blurred
(-1.03%)
well chosen subject
(-9.16%)
well framed subject
(11.33%)
well timed shot
(25.29%)
all
(7.02%)
* 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.